WO2020232636A1 - Fingerprint recognition apparatus, fingerprint recognition method, and electronic device - Google Patents

Fingerprint recognition apparatus, fingerprint recognition method, and electronic device Download PDF

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Publication number
WO2020232636A1
WO2020232636A1 PCT/CN2019/087826 CN2019087826W WO2020232636A1 WO 2020232636 A1 WO2020232636 A1 WO 2020232636A1 CN 2019087826 W CN2019087826 W CN 2019087826W WO 2020232636 A1 WO2020232636 A1 WO 2020232636A1
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Prior art keywords
fingerprint
template
finger
index
existing
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PCT/CN2019/087826
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French (fr)
Chinese (zh)
Inventor
丁才武
程思球
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深圳市汇顶科技股份有限公司
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Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to CN201980000779.8A priority Critical patent/CN112262392A/en
Priority to PCT/CN2019/087826 priority patent/WO2020232636A1/en
Publication of WO2020232636A1 publication Critical patent/WO2020232636A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition

Definitions

  • the embodiments of the application relate to the field of biometric technology, and in particular to a fingerprint identification device, a fingerprint identification method, and electronic equipment.
  • fingerprints are unique, they can be used for identity verification to meet the security and confidentiality requirements of different application scenarios.
  • fingerprint recognition technology has been widely used in various fields for identity authentication to realize various functions, such as payment, unlocking, customs clearance inspection, attendance, and security authentication.
  • the product realizes the fingerprint recognition solution, it is necessary to guide the user to pre-register the fingerprint template through the intuitive and clear registration process.
  • the fingerprint characteristic data is collected in real time and combined with the pre-registered fingerprint template. Match to complete fingerprint identification.
  • this implementation method requires strong resource support.
  • a display unit is generally required to prompt the user to press the gesture on the fingerprint sensor. Therefore, when the existing fingerprint identification scheme is applied to some small electronic devices, it is difficult to implement.
  • one of the technical problems solved by the embodiments of the present invention is to provide a fingerprint identification device, a fingerprint identification method, and an electronic device to overcome the above-mentioned defects in the prior art.
  • the embodiment of the application provides a fingerprint identification device, which includes:
  • a storage unit the storage unit is used to store a fingerprint template
  • a fingerprint sensor the fingerprint sensor is provided with a fingerprint collection area for collecting the original fingerprint data of the finger when the current user's finger is pressed on the fingerprint collection area;
  • the processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit.
  • An embodiment of the application provides an electronic device, which includes the fingerprint identification device described in any of the embodiments.
  • the embodiment of the application provides a fingerprint identification method, which includes:
  • the storage unit is used to store fingerprint templates;
  • the fingerprint sensor is provided with a fingerprint collection area for collecting the finger when the current user’s finger presses on the fingerprint collection area
  • the processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit, especially suitable for electronic devices without a display unit, It can realize fingerprint sensorless recognition, and there is no need to set up special registration steps to guide users to register fingerprint template.
  • FIG. 1 is a schematic structural diagram of a fingerprint identification device in Embodiment 1 of the application.
  • Fig. 2 is a schematic flow chart of the fingerprint identification method in the second embodiment of the application.
  • FIG. 3 is a schematic diagram of the flow of fingerprint template storage management according to the finger association index in the third embodiment of the application;
  • Fig. 4 is a schematic diagram illustrating an example of managing fingerprint templates in the fourth embodiment of the application.
  • the storage unit is used to store fingerprint templates;
  • the fingerprint sensor is provided with a fingerprint collection area for collecting the finger when the current user’s finger presses on the fingerprint collection area
  • the processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit, especially suitable for electronic devices without a display unit, It can realize fingerprint sensorless recognition, and there is no need to set up special registration steps to guide users to register fingerprint template.
  • Figure 1 is a schematic structural diagram of the fingerprint identification device in Embodiment 1 of the application; as shown in Figure 1, it includes: a storage unit, a fingerprint sensor and a processing unit, the storage unit is used to store a fingerprint template; the fingerprint sensor is provided There is a fingerprint collection area for collecting the original fingerprint data of the finger when the current user’s finger is pressed on the fingerprint collection area to generate a fingerprint image and extract current fingerprint characteristic data therefrom; the processing unit is used to The matching result of the current fingerprint characteristic data and the existing fingerprint template in the storage unit is subjected to fingerprint template storage management to identify the target fingerprint.
  • the fingerprint identification device provided in this embodiment is preferably applied to identify user identity in some scenarios with a limited or a small number of users, such as in a family, to identify the fingerprints of different members of the family, thereby providing personalized service.
  • the fingerprint identification device in Figure 1 is configured on a TV remote control or smart home equipment.
  • the TV remote control and smart home equipment generally do not have a display unit, when the user uses the TV remote control and smart home equipment, when the user presses the fingerprint collection area of the fingerprint sensor, for the user, It can collect the original fingerprint feature data without perception, and further form a fingerprint image and extract fingerprint feature data from it, and finally form a brand new fingerprint template or merge with an existing fingerprint template or append to an existing fingerprint template.
  • the original fingerprint data is the original fingerprint data obtained in the non-registered mode. Further, the original fingerprint data is the original fingerprint data obtained by pressing the fingerprint collection area for a single time.
  • the processing unit converts the original fingerprint data into a two-dimensional grayscale image, which can be directly used as a fingerprint image, thereby extracting the current fingerprint characteristic data from the fingerprint image .
  • the fingerprint identification device When the fingerprint identification device is applied to the above-mentioned remote control or smart home, due to the limited computing power of its processing unit, in order to ensure timeliness, when the current fingerprint feature data is extracted from the fingerprint image, the total number of fingerprint feature data extraction can be reduced , That is, extract the key fingerprint feature data in the fingerprint image, and reduce the extraction of fingerprint feature data that will have a large amount of calculation.
  • fingerprint templates are distinguished based on fingers and users to assign identification to fingerprint templates. Therefore, in the management of fingerprint templates, if it is the finger of the same user, if there are multiple fingerprint templates corresponding For the same finger of the same user, the identifications of the multiple fingerprint templates are the same; if there are multiple fingerprint templates corresponding to different fingers of the same user, the identifications of the multiple fingerprint templates are different.
  • the processing unit is based on the matching between the current fingerprint feature data and the existing fingerprint template in the storage unit
  • the fingerprint template storage management further includes the following processing: obtaining the feature point matching index according to the current fingerprint feature data and the fingerprint template data of the existing fingerprint template; according to the fingerprint image corresponding to the current fingerprint feature data
  • the fingerprint image corresponding to the existing fingerprint template obtains an image similarity index; the fingerprint template storage management is performed according to the image similarity index and the feature point matching index.
  • the processing unit is further configured to obtain a finger association index according to the image similarity index and the feature point matching index, and perform fingerprint template storage management according to the finger association index.
  • the processing unit is further configured to identify the original fingerprint data according to an existing fingerprint template in the storage unit. If the recognition is successful, it indicates that the original fingerprint data is legal; otherwise, it indicates that there is no fingerprint template matching the original fingerprint data in the storage unit. When the original fingerprint data is legal, it indicates that there is an existing fingerprint template matching the original fingerprint data on the storage unit. Therefore, a new fingerprint template is further generated according to the original fingerprint data and stored in the storage unit. The fingerprint template of and the existing fingerprint template matching the original fingerprint data have the same identification to indicate that the new fingerprint template corresponds to the same finger as the existing fingerprint template. When there is no fingerprint template matching the original fingerprint data in the storage unit, a new fingerprint template is further generated according to the original fingerprint data and stored in the storage unit. The new fingerprint template matches the original fingerprint data. The existing fingerprint template of the data has a different identifier to indicate that the new fingerprint template corresponds to a different finger from the existing fingerprint template.
  • the relationship between the above user, finger, fingerprint template and identification is not uniquely limited. In fact, multiple fingerprint templates of the same user and the same finger can also be assigned different identifications, as long as the fingerprint can be identified. The storage management of the template is sufficient.
  • the following describes the fingerprint identification process performed by the fingerprint identification device in combination with the above-mentioned structure of FIG. 1.
  • Perceptual registration or it can be said that the registration of the fingerprint template is completed synchronously in the process of fingerprint identification, which is different from the prior art, which divides the fingerprint identification scheme into the registration phase and the identification phase in terms of temporal and spatial attributes.
  • a separate registration interface is provided to register the fingerprint template, and then the registered fingerprint template is used in the recognition stage to identify fingerprint characteristic data.
  • the embodiment of the present application is equivalent to canceling the registration phase, while retaining the recognition phase.
  • the non-perceptual registration of the fingerprint template is completed, and the fingerprint recognition is completed. Furthermore, as mentioned above, when managing fingerprint templates, it is mainly determined based on the matching result of the current fingerprint characteristic data and the stored existing fingerprint templates to determine whether to form a brand new fingerprint template and assign an identity, or to match the existing fingerprint template.
  • the fingerprint template is fused, or it is appended to an existing fingerprint template but shares the assigned identification.
  • the storage and management of the fingerprint template can also only address one of the above three scenarios.
  • the original fingerprint data is obtained by extracting the current fingerprint characteristic data from it to achieve the matching between the original fingerprint data and the stored fingerprint template.
  • the process of extracting the current fingerprint feature data after the original fingerprint data can also be omitted.
  • FIG 2 is a schematic flow chart of the fingerprint identification method in the second embodiment of this application; as shown in Figure 2, it includes:
  • the fingerprint sensor collects the original fingerprint data of the finger when the finger of the current user is pressed on the fingerprint collection area;
  • S202 The processing unit generates a fingerprint image according to the original fingerprint data and extracts current fingerprint characteristic data therefrom;
  • step S203 may specifically include the following steps S213-S243:
  • S223 Obtain an image similarity index according to the fingerprint image corresponding to the current fingerprint feature data and the fingerprint image corresponding to the existing fingerprint template;
  • weighting processing is performed on the image similarity index and the feature point matching index to obtain a finger association index.
  • S204 Perform fingerprint template storage management according to the finger correlation index.
  • the formation of a brand-new fingerprint template during storage management is also called a new fingerprint template
  • fusion with an existing fingerprint template is also called a fusion fingerprint template
  • an addition to an existing fingerprint template is also called
  • the fingerprint template storage management according to the finger correlation index can be divided into the following three specific storage management operations: fusion fingerprint template processing process, additional fingerprint template processing process, or new fingerprint Template processing process.
  • three finger correlation index thresholds are set respectively, if they are called new Increase threshold, additional threshold, and fusion threshold to determine specific storage management operations (new fingerprint template processing process or fusion fingerprint template processing process or additional fingerprint template processing process) according to the finger association index and the finger association index threshold.
  • step S204 may include a combination of the following steps S214 and S224A-S224D.
  • FIG. 3 is the process of fingerprint template storage management according to the finger association index in the third embodiment of the application.
  • S214 Determine the matching result according to the relationship between the finger association index and the finger association index threshold
  • the relationship between the finger association index and the finger association index threshold may be used as the matching result.
  • the identification of the multiple existing fingerprint templates is performed The fusion process is to assign the same identification to the current fingerprint template and the multiple existing fingerprint templates.
  • the current fingerprint feature data is matched with the existing fingerprint template on the storage unit, that is, the finger correlation index between the current fingerprint feature data and each existing fingerprint template on the storage unit is calculated. If there is at least If the correlation index of two fingers is greater than the fusion threshold, it is determined that at least two existing fingerprint templates participating in obtaining the correlation index of the at least two fingers and corresponding to the same finger need to be fused. At the same time, because the current fingerprint feature data is also involved Finger correlation index calculation. Therefore, if a fingerprint template is generated based on the current fingerprint feature data, it and the at least two existing fingerprint templates can also be considered to correspond to the same finger.
  • the current fingerprint template generated according to the current fingerprint feature data is fused together.
  • the same identifier is assigned to the current fingerprint template and the at least two existing fingerprint templates.
  • the fingerprint template is generated based on the current fingerprint feature data, during the fusion process, it can be considered that the fusion process is performed on at least three fingerprint templates.
  • the fusion processing of the at least two existing fingerprint templates is determined based on the relationship between the at least two existing fingerprint templates and the current fingerprint feature data, which can be understood as one
  • This is an indirect method of determining fusion, which is suitable for application scenarios that require less fusion accuracy.
  • the finger correlation index between the at least two existing fingerprint templates is further calculated based on the at least two existing fingerprint templates, and the specific process is similar to the above calculation of current fingerprint features
  • the specific technical process is as follows: according to the fingerprint template data between the at least two existing fingerprint templates, the feature point matching index is obtained; according to the at least two existing fingerprint templates.
  • the fingerprint images corresponding to two existing fingerprint templates obtain an image similarity index; according to the image similarity index and the feature point matching index, the finger association index between the at least two existing fingerprint templates, if the at least If the finger correlation index between two existing fingerprint templates is greater than or equal to the fusion threshold, then at least two existing fingerprint templates and the current fingerprint template generated according to the current fingerprint feature data will be fused and processed according to the current fingerprint
  • the current fingerprint template generated by the characteristic data is stored in the storage unit.
  • the multiple existing fingerprint templates correspond to the same user Therefore, when determining the correlation index between the current fingerprint feature data and the fingers of multiple (ie N) existing fingerprint templates, first calculate the current fingerprint feature data and the fingerprint template data of each existing fingerprint template The fingerprint image corresponding to the current fingerprint feature data and the image similarity index of each existing fingerprint template are calculated to obtain multiple (N) feature point matching indexes, and multiple (N) Image similarity index, weighting processing of multiple feature point matching indexes and multiple image similarity indexes, so as to obtain the current fingerprint feature data and multiple (ie N) fingerprint template finger correlation indexes, which can also be called It is the finger association index (if F1) associated with the same finger (corresponding to identification 1) with the multiple (ie N) existing fingerprint templates.
  • the finger correlation index between the current fingerprint feature data and multiple (ie M) existing fingerprint templates first calculate the feature point matching index between the current fingerprint feature data and the fingerprint template data of each existing fingerprint template Calculate the fingerprint image corresponding to the current fingerprint feature data and the image similarity index of each existing fingerprint template, so as to obtain multiple (M) feature point matching indices and multiple (M) image similarity indices.
  • Multiple feature point matching indexes and multiple image similarity indexes are weighted to obtain the finger correlation index between the current fingerprint feature data and multiple (ie M) existing fingerprint templates, which can also be referred to as Multiple (ie M) fingerprint templates are associated with the finger association index (if F2) of the same finger (corresponding to identification 1). If the correlation index of the two fingers (if F1 and F2) are both greater than or equal to the fusion threshold, it indicates that there are multiple fingerprint templates identified as 1 (ie M images) and multiple fingerprint templates identified as 2 (ie M images). The fingerprint template corresponds to the same finger, and it is necessary to identify multiple (ie N+M) existing fingerprint templates corresponding to 1 and 2 respectively for fusion processing.
  • N+M multiple (ie N+M) existing fingerprint templates corresponding to IDs 1 and 2 respectively, and the current fingerprint template generated according to the current fingerprint characteristic data are fused, that is, a total of at least N+M+1 fingerprints
  • the template is fused, that is, the same identification is assigned to the at least N+M+1 fingerprint templates.
  • the identification of multiple existing fingerprint templates with the identification of 2 is changed to 1, and at the same time, the identification of the current fingerprint template generated according to the current fingerprint characteristic data is also 1.
  • the identification of multiple (ie N) existing fingerprint templates with the identification of 1 is changed to 2.
  • the identification of the current fingerprint template generated according to the current fingerprint characteristic data is also 2.
  • the matching result indicates that the number of the existing fingerprint template corresponding to the same finger of the current user with the current fingerprint feature data is one, then the current fingerprint template is added to the existing fingerprint template. Below the identification of the fingerprint template, the same identification is assigned to the current fingerprint template and the existing fingerprint template.
  • step S224B the detailed technical processing process of step S224B is similar to the above step S224A, if the calculated finger correlation index between the current fingerprint feature data and a piece of the existing fingerprint template is greater than or equal to the additional threshold, then according to the current The current fingerprint template generated by the fingerprint feature data corresponds to the same finger of the same user as the existing fingerprint template. Therefore, the current fingerprint template is appended to the identifier of the existing fingerprint template to assume that the current fingerprint template and The existing fingerprint templates are assigned the same identification. Of course, in some application scenarios, it is also possible to reassign an identifier to one of the existing fingerprint templates, and append the current fingerprint template to the reassigned identifier.
  • the finger correlation index of the current fingerprint feature data and a piece of the existing fingerprint template is calculated to be greater than or equal to the additional threshold, then the piece of the existing fingerprint template
  • the fingerprint template is regarded as the same finger of the current user corresponding to the current fingerprint characteristic data, and the current fingerprint template is further appended to the identification of the existing fingerprint template.
  • the maximum finger correlation index is greater than or equal to the additional threshold, the maximum finger correlation index
  • the corresponding existing fingerprint template is regarded as the same finger of the current user corresponding to the current fingerprint characteristic data, and the current fingerprint template is added to the existing fingerprint corresponding to the largest finger association index Below the logo of the template.
  • the determination of the finger association index in step S224C is as described above. The difference is that when the finger association index is less than or equal to the new threshold, it indicates that the current fingerprint feature data and the existing fingerprint template correspond to all
  • the different fingers of the current user are assigned an identifier for the current fingerprint template, and the identifier is different from the identifier of the existing fingerprint template.
  • the current fingerprint template can be assigned an identifier, which is different from the one described above.
  • the identification of the existing fingerprint template is directly processed according to the newly added fingerprint template.
  • the current fingerprint characteristic data and the finger correlation index of multiple existing fingerprint templates are calculated, if the maximum finger correlation index is less than or equal to the new threshold, it indicates If the current fingerprint characteristic data and the plurality of existing fingerprint templates correspond to different fingers of the current user, then an identifier is assigned to the current fingerprint template, which is different from the identifier of the existing fingerprint template. If the maximum finger association index is greater than the newly added threshold but less than the additional threshold, the current fingerprint template is marked as pending processing, for example, stored in the pending area of the storage unit. At this time, a hypothetical storage management method is adopted to further determine how to perform storage management on the current fingerprint template.
  • the finger correlation index between the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index if the finger correlation index is greater than or equal to the fusion threshold, then it is assumed that the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index are fused. What needs to be explained here is that it is only an assumption, and no substantial fusion processing operation is performed. If the finger correlation index is less than the fusion threshold, an identifier is assigned to the current fingerprint template, which is different from the identifiers of multiple existing fingerprint templates, which is equivalent to performing new fingerprint template processing.
  • the existing fingerprint feature template corresponding to the largest finger association index is fused with the existing fingerprint feature template corresponding to the second largest finger association index, if the current user’s finger presses it against the largest finger association index
  • the corresponding existing fingerprint feature template and the existing fingerprint feature template corresponding to the second largest finger correlation index have actually undergone fusion processing, which indicates that the current user’s finger is pressed for the existing fingerprint corresponding to the largest finger correlation index
  • the feature template and the existing fingerprint feature template corresponding to the second largest finger association index belong to the same finger of the same user, then the current fingerprint template is calculated to correspond to the existing fingerprint feature template corresponding to the largest finger association index or the second largest finger association index If the finger association index is greater than or equal to the addition threshold, the current fingerprint template is added to the existing fingerprint feature template corresponding to the largest finger association index or the second largest finger association index
  • the index corresponds to the identification of the existing fingerprint feature template.
  • the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have actually undergone fusion processing.
  • the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have the same identification.
  • the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have not actually undergone fusion processing after the finger of the current user is pressed, it indicates that the largest finger correlation index If the assumption that the corresponding existing fingerprint feature template is fused with the existing fingerprint feature template corresponding to the second largest finger correlation index is not established, then the current fingerprint template is assigned an identifier, which is different from the existing fingerprint The identification of the template is equivalent to a new fingerprint template processing.
  • the image similarity index and the feature point matching index are weighted to obtain the finger association index, they are compared with the newly added threshold, the additional threshold, and the fusion threshold, respectively, and it is determined that the new fingerprint is satisfied.
  • Template processing or additional fingerprint template processing or fingerprint template fusion processing, and the weights assigned to the image similarity index and the feature point matching index remain unchanged.
  • the difference from the above-mentioned embodiment is that for those of ordinary skill in the art, it is actually possible to reduce the amount of data and improve the timeliness according to the application scenario, and the above determination is to satisfy the new fingerprint template processing or the additional fingerprint template processing
  • the fingerprint template fusion processing is set in advance, and when the image similarity index and the feature point matching index are weighted, different weights are adopted for the new fingerprint template processing or additional fingerprint template processing or fingerprint template fusion processing . For example, first determine whether fingerprint template fusion processing is required, then determine whether fingerprint template addition processing is required, and finally, when fingerprint template addition processing is required, when determining the final step.
  • fingerprint template fusion processing is required, and based on the weights for fingerprint template fusion processing, weighting the image similarity index and the feature point matching index to obtain the finger association index, if the finger association index is greater than If it is equal to the fusion threshold, it is determined that fingerprint template fusion processing is required; if the finger correlation index is less than the fusion threshold, it is further assumed that fingerprint template addition processing is required. Based on the weight of the fingerprint template additional processing, the image similarity index and the The feature point matching index is weighted to obtain the finger association index.
  • the difference from the calculation of the finger association index when the fingerprint template fusion process is assumed above is that when the fingerprint template is added to calculate the finger association index, the characteristic point matching index is The weight will become larger, and the weight of the image similarity index will become smaller. If the finger correlation index is greater than or equal to the additional threshold, it is determined that additional fingerprint template processing is required; if the finger correlation index is less than the additional threshold, then it is finally assumed that fingerprint template additional processing is required, and based on the weight of fingerprint template additional processing, Perform weighting processing on the image similarity index and the feature point matching index to obtain the finger association index.
  • the weight of the fingerprint template addition processing is the same as the fingerprint template addition processing weight.
  • the finger association index is less than or equal to the addition threshold . It is determined that the new fingerprint template needs to be processed; otherwise, it cannot be concluded that the new fingerprint template needs to be processed, and the current fingerprint template is marked to be processed, such as stored in the processing area of the storage unit, according to the above
  • the finger association index is greater than the newly added threshold.
  • the new threshold is generally smaller than the additional threshold. Because the weight of calculating the finger association index when obtaining whether to participate in fusion processing is different from participating in additional fingerprint template processing or new fingerprint template processing, Therefore, there is no absolute relationship between the fusion threshold and the size of the newly added threshold and the additional threshold. In fact, those skilled in the art can set it flexibly based on empirical statistical values.
  • Fig. 4 is a schematic diagram illustrating an example of managing fingerprint templates in the fourth embodiment of the application; as shown in Fig. 4, when the user’s finger presses the fingerprint collection area of the fingerprint sensor, the specific area of the finger that is in contact with the fingerprint collection may exist Differences, resulting in multiple existing fingerprint templates that may be formed, especially when there is no physical position related to the specific area of the finger where the fingerprint is collected.
  • the specific area A of the finger in Figure 4 is in contact with the fingerprint collection area, and the result is The existing fingerprint template is based on the specific area A of the finger, and another specific area B of the finger is in contact with the fingerprint collection area, and the existing fingerprint template is based on the specific area A of the finger.
  • the specific area B of the finger does not have any physical overlap on the fingerprint.
  • the existing fingerprint templates corresponding to the specific areas of the two fingers have different identifications.
  • the existing fingerprint template corresponding to the specific area A of the finger is identified as 1.
  • the existing fingerprint template corresponding to the specific area B of the finger is identified as 2.
  • the specific area C of another finger touches the fingerprint collection area to obtain the current fingerprint feature data
  • the current fingerprint feature data is matched with the existing fingerprint template identified as 1 and the existing fingerprint template identified as 2, respectively, to obtain a finger Correlation index. If the correlation index of the two fingers is greater than or equal to the fusion threshold, it indicates that the existing fingerprint template with ID 1 and the ID 2 correspond to the same finger, and the two existing fingerprint templates need to be fused.
  • the identification of the existing fingerprint template corresponding to the specific area B of the finger is changed from 2 to 1, and at the same time, the identification of the fingerprint template corresponding to the specific area C of the finger is also 1.
  • the identification of the existing fingerprint template corresponding to the specific area A of the finger is changed from 1 to 2, and at the same time, the identification of the fingerprint template corresponding to the specific area C of the finger is also 2.
  • the identifier discarded during the fusion process is recovered, and the storage management of the current fingerprint template data can be completed, and then it can be allocated to a subsequent new fingerprint template.
  • the foregoing technical solution further includes: the processing unit is further configured to activate the fingerprint template stored on the storage unit according to the set data storage threshold The removal process.
  • the processing unit is further configured to obtain the removal index according to the frequency of use of multiple fingerprint templates of the same finger and the total number of fingerprint templates, and when the removal index reaches the removal index threshold, the storage unit The stored multiple fingerprint templates and corresponding identifications of the same finger are cleared.
  • the use frequency and the total number of fingerprint templates are weighted to obtain the removal index, and the use frequency is, for example, the sum of the use frequencies of multiple fingerprint templates of the same finger.
  • the processing unit is further configured to generate a new fingerprint template according to the original fingerprint data and store it in the Storage unit. At this time, if it corresponds to the same finger, the existing fingerprint template corresponding to the same finger has the same identification; if it corresponds to a different finger, the new fingerprint template is assigned a new identification, which is different from the existing fingerprint. The identifier that the template has.
  • the fingerprint template stored in the storage unit is empty, the original fingerprint data collected by the fingerprint sensor for the first time is stored in the storage unit as the initial fingerprint template, and fingerprints are subsequently performed on the basis of this initial fingerprint template.
  • Fingerprint template processing such as adding, merging or adding templates.
  • the corresponding relationship between the fingerprint template, the identification, and the finger is only a relative definition from the perspective of recognition, not an absolute definition. From the perspective of fingerprint template management, there may be situations in which two fingerprint templates actually correspond to the same finger even though the two fingerprint templates have different identifiers.
  • This embodiment also provides an electronic device, which includes the fingerprint identification device in the foregoing embodiment.
  • the electronic devices in the embodiments of the present application exist in various forms, for example, including remote controllers for home use, smart homes, etc., and are not limited to:
  • Mobile communication equipment This type of equipment is characterized by mobile communication functions, and its main goal is to provide voice and data communications.
  • Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.
  • Ultra-mobile personal computer equipment This type of equipment belongs to the category of personal computers, has calculation and processing functions, and generally also has mobile Internet features.
  • Such terminals include: PDA, MID and UMPC devices, such as iPad.
  • Portable entertainment equipment This type of equipment can display and play multimedia content.
  • Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, as well as smart toys and portable car navigation devices.
  • Server A device that provides computing services.
  • the composition of a server includes a processor 810, hard disk, memory, system bus, etc.
  • the server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has High requirements in terms of performance, reliability, security, scalability, and manageability.
  • this application can be provided as methods, systems, or computer program products. Therefore, this application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • This application may be described in the general context of computer-executable instructions executed by a computer, such as program modules.
  • program modules include routines, programs, objects, components, data structures, etc. that perform specific transactions or implement specific abstract data types.
  • This application can also be practiced in distributed computing environments. In these distributed computing environments, remote processing devices connected through a communication network execute transactions.
  • program modules can be located in local and remote computer storage media including storage devices.

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Abstract

A fingerprint recognition apparatus, a fingerprint recognition method, and an electronic device. The fingerprint recognition apparatus comprises: a storage unit, the storage unit being used for storing a fingerprint template; a fingerprint sensor, the fingerprint sensor being provided with a fingerprint acquisition area and used for when a finger of the current user is pressed on the fingerprint acquisition area, acquiring fingerprint raw data of the finger; and a processing unit, the processing unit being used for performing fingerprint template storage management according to a matching result of the fingerprint raw data and the existing fingerprint template in the storage unit. The fingerprint recognition apparatus can implement fingerprint non-inductive recognition, and no special registration step needs to be set to guide a user to register a fingerprint template for fingerprint recognition and fingerprint template registration.

Description

指纹识别装置、指纹识别方法及电子设备Fingerprint identification device, fingerprint identification method and electronic equipment 技术领域Technical field
本申请实施例涉及生物特征技术领域,尤其涉及一种指纹识别装置、指纹识别方法及电子设备。The embodiments of the application relate to the field of biometric technology, and in particular to a fingerprint identification device, a fingerprint identification method, and electronic equipment.
背景技术Background technique
由于指纹具有独一无二性,因此可用于身份验证等,以满足不同应用场景的安全、保密要求。如今指纹识别技术已广泛应用在各领域进行身份认证,以实现各种功能,常见的如支付、解锁、过关检测、考勤、安全认证等。目前的应用场景下,在产品实现指纹识别方案时,均需通过直观明了的注册流程引导用户预先注册指纹模板,后续在使用的过程中,再实时采集指纹特征数据并与预先注册的指纹模板进行匹配,从而完成指纹识别。Because fingerprints are unique, they can be used for identity verification to meet the security and confidentiality requirements of different application scenarios. Nowadays, fingerprint recognition technology has been widely used in various fields for identity authentication to realize various functions, such as payment, unlocking, customs clearance inspection, attendance, and security authentication. In the current application scenario, when the product realizes the fingerprint recognition solution, it is necessary to guide the user to pre-register the fingerprint template through the intuitive and clear registration process. During the subsequent use, the fingerprint characteristic data is collected in real time and combined with the pre-registered fingerprint template. Match to complete fingerprint identification.
但是,这种实现的方式,需要较强的资源支撑,比如在注册过程中为了引导用户注册指纹模板,一般都需要有显示单元,提示用户在指纹传感器上按压的姿势等。由此当把现有的指纹识别方案应用到一些小型电子设备上时,实现难度较大。However, this implementation method requires strong resource support. For example, in order to guide the user to register a fingerprint template during the registration process, a display unit is generally required to prompt the user to press the gesture on the fingerprint sensor. Therefore, when the existing fingerprint identification scheme is applied to some small electronic devices, it is difficult to implement.
发明内容Summary of the invention
有鉴于此,本发明实施例所解决的技术问题之一在于提供一种指纹识别装置、指纹识别方法及电子设备,用以克服现有技术中的上述缺陷。In view of this, one of the technical problems solved by the embodiments of the present invention is to provide a fingerprint identification device, a fingerprint identification method, and an electronic device to overcome the above-mentioned defects in the prior art.
本申请实施例提供了一种指纹识别装置,其包括:The embodiment of the application provides a fingerprint identification device, which includes:
存储单元,所述存储单元用于存储指纹模板;A storage unit, the storage unit is used to store a fingerprint template;
指纹传感器,所述指纹传感器上设置有指纹采集区,用于当前用户的手指按压在所述指纹采集区上时采集所述手指的指纹原始数据;以及A fingerprint sensor, the fingerprint sensor is provided with a fingerprint collection area for collecting the original fingerprint data of the finger when the current user's finger is pressed on the fingerprint collection area; and
处理单元,所述处理单元用于根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理。The processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit.
本申请实施例提供了一种电子设备,其包括任一实施例所述的指纹识别装置。An embodiment of the application provides an electronic device, which includes the fingerprint identification device described in any of the embodiments.
本申请实施例提供了一种指纹识别方法,其包括:The embodiment of the application provides a fingerprint identification method, which includes:
当前用户的手指按压在指纹传感器的指纹采集区上时采集所述手指的指纹原始数据;Collect the original fingerprint data of the current user when the finger of the current user presses the fingerprint collection area of the fingerprint sensor;
根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理。Perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit.
本申请实施例提供的技术方案中,所述存储单元用于存储指纹模板;所述指纹传感器上设置有指纹采集区,用于当前用户的手指按压在所述指纹采集区上时采集所述手指的指纹原始数据;以及所述处理单元用于根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理,尤其适用于没有配置显示单元的电子设备上,可以实现指纹无感识别,且不需要设置专门的注册步骤引导用户进行指纹模板注册指纹模板注册。In the technical solution provided by the embodiment of the application, the storage unit is used to store fingerprint templates; the fingerprint sensor is provided with a fingerprint collection area for collecting the finger when the current user’s finger presses on the fingerprint collection area And the processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit, especially suitable for electronic devices without a display unit, It can realize fingerprint sensorless recognition, and there is no need to set up special registration steps to guide users to register fingerprint template.
附图说明Description of the drawings
后文将参照附图以示例性而非限制性的方式详细描述本申请实施例的一些具体实施例。附图中相同的附图标记标示了相同或类似的部件或部分。本领域技术人员应该理解,这些附图未必是按比例绘制的。附图中:Hereinafter, some specific embodiments of the embodiments of the present application will be described in detail in an exemplary but not restrictive manner with reference to the accompanying drawings. The same reference numerals in the drawings indicate the same or similar components or parts. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the attached picture:
图1为本申请实施例一中指纹识别装置的结构示意图;FIG. 1 is a schematic structural diagram of a fingerprint identification device in Embodiment 1 of the application;
图2为本申请实施例二中指纹识别方法流程示意图;Fig. 2 is a schematic flow chart of the fingerprint identification method in the second embodiment of the application;
图3为本申请实施例三中根据手指关联指数进行指纹模板存储管理的流程示意图;FIG. 3 is a schematic diagram of the flow of fingerprint template storage management according to the finger association index in the third embodiment of the application;
图4为本申请实施例四中示例性说明管理指纹模板的实例示意图。Fig. 4 is a schematic diagram illustrating an example of managing fingerprint templates in the fourth embodiment of the application.
具体实施方式Detailed ways
实施本发明实施例的任一技术方案必不一定需要同时达到以上的所有优点。The implementation of any technical solution of the embodiments of the present invention does not necessarily need to achieve all the above advantages at the same time.
下面结合本发明实施例附图进一步说明本发明实施例具体实现。The specific implementation of the embodiments of the present invention will be further described below in conjunction with the drawings of the embodiments of the present invention.
本申请实施例提供的技术方案中,所述存储单元用于存储指纹模板;所述指纹传感器上设置有指纹采集区,用于当前用户的手指按压在所述指纹采集区上时采集所述手指的指纹原始数据;以及所述处理单元用于根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理,尤其适用于没有配置显示单元的电子设备上,可以实现指纹无感识别,且不需要设置专门的注册步骤引导用户进行指纹模板注册指纹模板注册。In the technical solution provided by the embodiment of the application, the storage unit is used to store fingerprint templates; the fingerprint sensor is provided with a fingerprint collection area for collecting the finger when the current user’s finger presses on the fingerprint collection area And the processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit, especially suitable for electronic devices without a display unit, It can realize fingerprint sensorless recognition, and there is no need to set up special registration steps to guide users to register fingerprint template.
图1为本申请实施例一中指纹识别装置的结构示意图;如图1所示, 其包括:存储单元、指纹传感器以及处理单元,所述存储单元用于存储指纹模板;所述指纹传感器上设置有指纹采集区,用于当前用户的手指按压在所述指纹采集区上时采集所述手指的指纹原始数据,以生成指纹图像并从中提取当前指纹特征数据;所述处理单元用于根据所述当前指纹特征数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理以对目标指纹进行识别。Figure 1 is a schematic structural diagram of the fingerprint identification device in Embodiment 1 of the application; as shown in Figure 1, it includes: a storage unit, a fingerprint sensor and a processing unit, the storage unit is used to store a fingerprint template; the fingerprint sensor is provided There is a fingerprint collection area for collecting the original fingerprint data of the finger when the current user’s finger is pressed on the fingerprint collection area to generate a fingerprint image and extract current fingerprint characteristic data therefrom; the processing unit is used to The matching result of the current fingerprint characteristic data and the existing fingerprint template in the storage unit is subjected to fingerprint template storage management to identify the target fingerprint.
本实施例提供的指纹识别装置,优选应用于在一些具有有限个或者少量的使用用户的场景进行用户身份的识别,比如在家庭中,对家庭中不同成员的指纹进行识别,从而提供个性化的服务。常见地,在电视遥控器或者智能家居设备上配置图1中的指纹识别装置。特别地,由于电视遥控器和智能家居设备上一般都不会配置显示单元,因此,在用户使用电视遥控器和智能家居设备的时候,用户按压指纹传感器的指纹采集区时,对于用户来说,可以进行无感知的指纹原始特征数据的采集,进一步形成指纹图像并从中提取指纹特征数据,最终形成全新的指纹模板或者与已有的指纹模板融合或者追加到已有的指纹模板上。The fingerprint identification device provided in this embodiment is preferably applied to identify user identity in some scenarios with a limited or a small number of users, such as in a family, to identify the fingerprints of different members of the family, thereby providing personalized service. Commonly, the fingerprint identification device in Figure 1 is configured on a TV remote control or smart home equipment. In particular, since the TV remote control and smart home equipment generally do not have a display unit, when the user uses the TV remote control and smart home equipment, when the user presses the fingerprint collection area of the fingerprint sensor, for the user, It can collect the original fingerprint feature data without perception, and further form a fingerprint image and extract fingerprint feature data from it, and finally form a brand new fingerprint template or merge with an existing fingerprint template or append to an existing fingerprint template.
本实施例中,所述指纹原始数据为非注册模式下获得的指纹原始数据。进一步地,所述指纹原始数据为单次按压所述指纹采集区获得的指纹原始数据。当所述指纹传感器采集到指纹原始数据之后,处理单元将指纹原始数据转换为二维灰度图,该二维灰度图可直接作为指纹图像,从而在该指纹图像中提取出当前指纹特征数据。当指纹识别装置应用到上述遥控器或者智能家居时,由于其处理单元的运算能力有限,因此为了保证时效性,在该指纹图像中提取出当前指纹特征数据时,可以减少指纹特征数据的提取总数,即提取指纹图像中关键的指纹特征数据,以及减少提取会发生较大运算量的指纹特征数据。In this embodiment, the original fingerprint data is the original fingerprint data obtained in the non-registered mode. Further, the original fingerprint data is the original fingerprint data obtained by pressing the fingerprint collection area for a single time. After the fingerprint sensor collects the original fingerprint data, the processing unit converts the original fingerprint data into a two-dimensional grayscale image, which can be directly used as a fingerprint image, thereby extracting the current fingerprint characteristic data from the fingerprint image . When the fingerprint identification device is applied to the above-mentioned remote control or smart home, due to the limited computing power of its processing unit, in order to ensure timeliness, when the current fingerprint feature data is extracted from the fingerprint image, the total number of fingerprint feature data extraction can be reduced , That is, extract the key fingerprint feature data in the fingerprint image, and reduce the extraction of fingerprint feature data that will have a large amount of calculation.
本实施例中,示例性地,基于手指和用户进行指纹模板的区分以给指纹模板进行标识的分配,因此,在指纹模板的管理时,如果是同一用户的手指,若存在多张指纹模板对应于该同一用户相同的手指,则该多张指纹模板的标识是相同的;若存在多张指纹模板对应于该同一用户不同的手指,则该多张指纹模板的标识是不同的。In this embodiment, exemplarily, fingerprint templates are distinguished based on fingers and users to assign identification to fingerprint templates. Therefore, in the management of fingerprint templates, if it is the finger of the same user, if there are multiple fingerprint templates corresponding For the same finger of the same user, the identifications of the multiple fingerprint templates are the same; if there are multiple fingerprint templates corresponding to different fingers of the same user, the identifications of the multiple fingerprint templates are different.
进一步地,本实施例中,如前所述,若基于手指和用户进行指纹模板的区分,则所述处理单元在根据所述当前指纹特征数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理时进一步包括如下处理过程:根据所述当前指纹特征数据与所述已有指纹模板的指纹模板数据得到特征点匹配指数;根据所述当前指纹特征数据对应的指纹图像与所述已有指纹模板对应的 指纹图像得到图像相似指数;根据所述图像相似指数和所述特征点匹配指数进行指纹模板存储管理。进一步地,所述处理单元进一步用于根据所述图像相似指数和所述特征点匹配指数得到手指关联指数,根据手指关联指数进行指纹模板存储管理。Further, in this embodiment, as described above, if the fingerprint template is distinguished based on the finger and the user, the processing unit is based on the matching between the current fingerprint feature data and the existing fingerprint template in the storage unit As a result, the fingerprint template storage management further includes the following processing: obtaining the feature point matching index according to the current fingerprint feature data and the fingerprint template data of the existing fingerprint template; according to the fingerprint image corresponding to the current fingerprint feature data The fingerprint image corresponding to the existing fingerprint template obtains an image similarity index; the fingerprint template storage management is performed according to the image similarity index and the feature point matching index. Further, the processing unit is further configured to obtain a finger association index according to the image similarity index and the feature point matching index, and perform fingerprint template storage management according to the finger association index.
进一步地,本实施例中,所述处理单元进一步用于根据所述存储单元中的已有指纹模板对所述指纹原始数据进行识别。若识别成功,则表明所述指纹原始数据合法,否则,表明所述存储单元中不存在与所述指纹原始数据匹配的指纹模板。在所述指纹原始数据合法时,表明在存储单元上存在与所述指纹原始数据匹配的已有指纹模板,因此进一步根据所述指纹原始数据生成新的指纹模板存入所述存储单元,该新的指纹模板与匹配于所述指纹原始数据的已有指纹模板具有相同的标识,以表示该新的指纹模板与已有指纹模板对应同一手指。当所述存储单元中不存在与所述指纹原始数据匹配的指纹模板,进一步根据所述指纹原始数据生成新的指纹模板存入所述存储单元,该新的指纹模板与匹配于所述指纹原始数据的已有指纹模板具有不同的标识,以表示该新的指纹模板与已有指纹模板对应不同手指。Further, in this embodiment, the processing unit is further configured to identify the original fingerprint data according to an existing fingerprint template in the storage unit. If the recognition is successful, it indicates that the original fingerprint data is legal; otherwise, it indicates that there is no fingerprint template matching the original fingerprint data in the storage unit. When the original fingerprint data is legal, it indicates that there is an existing fingerprint template matching the original fingerprint data on the storage unit. Therefore, a new fingerprint template is further generated according to the original fingerprint data and stored in the storage unit. The fingerprint template of and the existing fingerprint template matching the original fingerprint data have the same identification to indicate that the new fingerprint template corresponds to the same finger as the existing fingerprint template. When there is no fingerprint template matching the original fingerprint data in the storage unit, a new fingerprint template is further generated according to the original fingerprint data and stored in the storage unit. The new fingerprint template matches the original fingerprint data. The existing fingerprint template of the data has a different identifier to indicate that the new fingerprint template corresponds to a different finger from the existing fingerprint template.
但是,此处需要说明的是,上述用户、手指、指纹模板与标识的关系并非唯一性限定,实际上,对于同一用户同一手指的多张指纹模板也可以分配不同的标识,只要可以实现对指纹模板的存储管理即可。However, it should be noted here that the relationship between the above user, finger, fingerprint template and identification is not uniquely limited. In fact, multiple fingerprint templates of the same user and the same finger can also be assigned different identifications, as long as the fingerprint can be identified. The storage management of the template is sufficient.
下述结合上述图1的结构,对上述指纹识别装置进行指纹识别过程的进行如下说明,尤其其中主要说明在指纹识别的过程中如何对指纹模板进行存储管理,从而在产品上实现指纹模板的无感知注册,或者又可称之为在指纹识别的过程中同步完成了指纹模板的注册,从而有区别与现有技术中将指纹识别方案在时空属性上划分为注册阶段和识别阶段,且在注册阶段提供单独的注册界面进行指纹模板的注册,之后在识别阶段利用注册指纹模板进行指纹特征数据的识别。而相比之下本申请实施例相当于取消了注册阶段,而保留识别阶段,通过识别阶段即完成指纹模板的无感知注册,又完成指纹识别。进一步,如前所述,在指纹模板的管理时,主要根据所述当前指纹特征数据与存储的已有指纹模板的匹配结果来确定是形成全新的指纹模板并分配标识,或者是与已有的指纹模板融合,或者是追加到已有的指纹模板上但共享已分配的标识。实际上,对于本领域普通技术人员来说,根据应用场景的需求,在指纹模板的存储管理时,也可以只针对上述三种情形中的一种情形。The following describes the fingerprint identification process performed by the fingerprint identification device in combination with the above-mentioned structure of FIG. 1. In particular, it mainly explains how to store and manage the fingerprint template during the fingerprint identification process, so as to realize the non-fingerprint template on the product. Perceptual registration, or it can be said that the registration of the fingerprint template is completed synchronously in the process of fingerprint identification, which is different from the prior art, which divides the fingerprint identification scheme into the registration phase and the identification phase in terms of temporal and spatial attributes. In the stage, a separate registration interface is provided to register the fingerprint template, and then the registered fingerprint template is used in the recognition stage to identify fingerprint characteristic data. In contrast, the embodiment of the present application is equivalent to canceling the registration phase, while retaining the recognition phase. Through the recognition phase, the non-perceptual registration of the fingerprint template is completed, and the fingerprint recognition is completed. Furthermore, as mentioned above, when managing fingerprint templates, it is mainly determined based on the matching result of the current fingerprint characteristic data and the stored existing fingerprint templates to determine whether to form a brand new fingerprint template and assign an identity, or to match the existing fingerprint template. The fingerprint template is fused, or it is appended to an existing fingerprint template but shares the assigned identification. In fact, for a person of ordinary skill in the art, according to the requirements of the application scenario, the storage and management of the fingerprint template can also only address one of the above three scenarios.
另外,下述实施例中,以得到指纹原始数据后从中提取当前指纹特征 数据的方式,实现指纹原始数据与存储的已有指纹模板的匹配,实际上,如果指纹原始数据的质量比较高,从指纹原始数据后中提取当前指纹特征数据的处理也可以省略。In addition, in the following embodiments, the original fingerprint data is obtained by extracting the current fingerprint characteristic data from it to achieve the matching between the original fingerprint data and the stored fingerprint template. In fact, if the quality of the original fingerprint data is relatively high, The process of extracting the current fingerprint feature data after the original fingerprint data can also be omitted.
图2为本申请实施例二中指纹识别方法流程示意图;如图2所示,其包括:Figure 2 is a schematic flow chart of the fingerprint identification method in the second embodiment of this application; as shown in Figure 2, it includes:
S201、当前用户的手指按压在所述指纹采集区上时指纹传感器采集所述手指的指纹原始数据;S201: The fingerprint sensor collects the original fingerprint data of the finger when the finger of the current user is pressed on the fingerprint collection area;
S202、处理单元根据所述指纹原始数据生成指纹图像并从中提取当前指纹特征数据;S202: The processing unit generates a fingerprint image according to the original fingerprint data and extracts current fingerprint characteristic data therefrom;
S203、确定所述当前指纹特征数据与存储的已有指纹模板的匹配结果;S203: Determine a matching result between the current fingerprint feature data and the stored fingerprint template;
如前所述,若基于手指和用户进行指纹模板的区分以给指纹模板进行标识的分配,因此,在指纹模板的管理时,如果是同一用户相同的手指,若对应于该同一用户相同的手指存在多张指纹模板,则该多张指纹模板的标识是相同的;如果是同一用户不同的手指,若对应于该同一用户不同的手指存在多张指纹模板,则该多张指纹模板的标识是不同的;如果是不同用户,则该多张指纹模板的标识是不同的。为此,本实施例中,步骤S203具体可以包括如下步骤S213-S243:As mentioned above, if the fingerprint template is distinguished based on the finger and the user to assign the fingerprint template identification, therefore, in the management of the fingerprint template, if it is the same finger of the same user, if it corresponds to the same finger of the same user If there are multiple fingerprint templates, the identifiers of the multiple fingerprint templates are the same; if there are different fingers of the same user, if there are multiple fingerprint templates corresponding to different fingers of the same user, the identifiers of the multiple fingerprint templates are Different; if they are different users, the identifications of the multiple fingerprint templates are different. For this reason, in this embodiment, step S203 may specifically include the following steps S213-S243:
S213、根据所述当前指纹特征数据与所述已有指纹模板的指纹模板数据得到特征点匹配指数;S213: Obtain a feature point matching index according to the current fingerprint feature data and the fingerprint template data of the existing fingerprint template;
S223、根据所述当前指纹特征数据对应的指纹图像与所述已有指纹模板对应的指纹图像得到图像相似指数;S223: Obtain an image similarity index according to the fingerprint image corresponding to the current fingerprint feature data and the fingerprint image corresponding to the existing fingerprint template;
S233、根据所述图像相似指数和所述特征点匹配指数得到手指关联指数,以根据手指关联指数进行指纹模板存储管理。S233. Obtain a finger association index according to the image similarity index and the feature point matching index, so as to perform fingerprint template storage management according to the finger association index.
具体地,对所述图像相似指数和所述特征点匹配指数进行加权处理得到手指关联指数。Specifically, weighting processing is performed on the image similarity index and the feature point matching index to obtain a finger association index.
S204、根据手指关联指数进行指纹模板存储管理。S204: Perform fingerprint template storage management according to the finger correlation index.
本实施例中,在存储管理时形成全新的指纹模板又称之为新增指纹模板,与已有的指纹模板融合又称之为融合指纹模板,或者追加到已有的指纹模板上又称之为追加指纹模板,因此,在步骤S204中在根据手指关联指数进行指纹模板存储管理时具体可分为如下三种具体的存储管理操作:融合指纹模板处理过程、追加指纹模板处理过程或者新增指纹模板处理过程。In this embodiment, the formation of a brand-new fingerprint template during storage management is also called a new fingerprint template, and fusion with an existing fingerprint template is also called a fusion fingerprint template, or an addition to an existing fingerprint template is also called In order to add a fingerprint template, therefore, in step S204, the fingerprint template storage management according to the finger correlation index can be divided into the following three specific storage management operations: fusion fingerprint template processing process, additional fingerprint template processing process, or new fingerprint Template processing process.
进一步地,为了根据手指关联指数来判断是新增指纹模板处理过程、融合指纹模板处理过程或者追加指纹模板处理过程,本实施例中,分别设置三个手指关联指数门限,假如分别称之为新增门限、追加门限、融合门限,从而根据手指关联指数以及手指关联指数门限来确定具体的存储管理操作(新增指纹模板处理过程或者融合指纹模板处理过程或者追加指纹模板处理过程)。Further, in order to judge whether it is a new fingerprint template processing process, a fusion fingerprint template processing process or an additional fingerprint template processing process according to the finger correlation index, in this embodiment, three finger correlation index thresholds are set respectively, if they are called new Increase threshold, additional threshold, and fusion threshold to determine specific storage management operations (new fingerprint template processing process or fusion fingerprint template processing process or additional fingerprint template processing process) according to the finger association index and the finger association index threshold.
具体地,本实施例中,步骤S204可以包括如下步骤S214和S224A-S224D中任一步骤的组合,详细请参见图3,为本申请实施例三中根据手指关联指数进行指纹模板存储管理的流程示意图:Specifically, in this embodiment, step S204 may include a combination of the following steps S214 and S224A-S224D. For details, please refer to FIG. 3, which is the process of fingerprint template storage management according to the finger association index in the third embodiment of the application. Schematic diagram:
S214、根据手指关联指数与手指关联指数门限的关系,确定所述匹配结果;S214: Determine the matching result according to the relationship between the finger association index and the finger association index threshold;
本实施例中,所述手指关联指数与手指关联指数门限的关系,可作为所述匹配结果。In this embodiment, the relationship between the finger association index and the finger association index threshold may be used as the matching result.
S224A、若所述匹配结果表明与所述当前指纹特征数据对应于所述当前用户的同一手指的所述已有指纹模板张数为多张,则对多张所述已有指纹模板的标识进行融合处理,以为所述当前指纹模板以及多张所述已有指纹模板分配相同的标识。S224A. If the matching result indicates that the number of the existing fingerprint templates corresponding to the same finger of the current user with the current fingerprint characteristic data is multiple, then the identification of the multiple existing fingerprint templates is performed The fusion process is to assign the same identification to the current fingerprint template and the multiple existing fingerprint templates.
本实施例中,所述当前指纹特征数据与存储单元上的已有指纹模板进行匹配,即计算所述当前指纹特征数据与存储单元上的每个已有指纹模板的手指关联指数,若存在至少两个手指关联指数大于融合门限,则确定需要对参与得到该至少两个手指关联指数且对应于同一手指的至少两张已有指纹模板进行融合处理,同时由于所述当前指纹特征数据也参与了手指关联指数的计算,因此,若基于所述当前指纹特征数据生成指纹模板的话,其与所述至少两张已有指纹模板也可认为对应于同一手指,因此,在对至少两张已有指纹模板进行融合处理时,一并对根据所述当前指纹特征数据生成的当前指纹模板进行融合处理。在具体融合处理时,为所述当前指纹模板以及所述至少两张已有指纹模板分配相同的标识。或者,若基于所述当前指纹特征数据生成指纹模板的话,在融合处理时,可以认为是对至少三张指纹模板进行融合处理。In this embodiment, the current fingerprint feature data is matched with the existing fingerprint template on the storage unit, that is, the finger correlation index between the current fingerprint feature data and each existing fingerprint template on the storage unit is calculated. If there is at least If the correlation index of two fingers is greater than the fusion threshold, it is determined that at least two existing fingerprint templates participating in obtaining the correlation index of the at least two fingers and corresponding to the same finger need to be fused. At the same time, because the current fingerprint feature data is also involved Finger correlation index calculation. Therefore, if a fingerprint template is generated based on the current fingerprint feature data, it and the at least two existing fingerprint templates can also be considered to correspond to the same finger. Therefore, when comparing at least two existing fingerprints When the template is fused, the current fingerprint template generated according to the current fingerprint feature data is fused together. During specific fusion processing, the same identifier is assigned to the current fingerprint template and the at least two existing fingerprint templates. Or, if the fingerprint template is generated based on the current fingerprint feature data, during the fusion process, it can be considered that the fusion process is performed on at least three fingerprint templates.
此处,需要说明的是,若针对同一用户的同一手指,其对应的所有指纹模板都分配相同标识的话,则对应于同一手指的已有指纹模板的数量有多张,则在进行融合时,参与融合的已有指纹模板的张数也存在多张。Here, it should be noted that if all fingerprint templates corresponding to the same finger of the same user are assigned the same identifier, then there are multiple existing fingerprint templates corresponding to the same finger, and when fusion is performed, There are also multiple existing fingerprint templates participating in the fusion.
进一步地,由上述过程可见,其中对所述至少两张已有指纹模板的融合处理,是基于所述至少两张已有指纹模板分别与当前指纹特征数据的关系来 确定的,可以理解为一种间接确定融合的方式,适用融合准确性要求较低的应用场景。Further, it can be seen from the above process that the fusion processing of the at least two existing fingerprint templates is determined based on the relationship between the at least two existing fingerprint templates and the current fingerprint feature data, which can be understood as one This is an indirect method of determining fusion, which is suitable for application scenarios that require less fusion accuracy.
当针对融合准确性要求比较高的场景中,进一步基于所述至少两张已有指纹模板再次计算所述至少两张已有指纹模板之间的手指关联指数,其具体过程类似上述计算当前指纹特征数据与所述至少两张已有指纹模板任一的手指关联指数,具体技术过程简要如下:根据所述至少两张已有指纹模板之间的指纹模板数据得到特征点匹配指数;根据所述至少两张已有指纹模板对应的所述指纹图像得到图像相似指数;根据所述图像相似指数和所述特征点匹配指数所述至少两张已有指纹模板之间的手指关联指数,若所述至少两张已有指纹模板之间的手指关联指数大于等于融合门限,则对至少两张已有指纹模板、根据所述当前指纹特征数据生成的当前指纹模板进行融合处理,并将根据所述当前指纹特征数据生成的当前指纹模板存储到存储单元上。When the fusion accuracy requirements are relatively high, the finger correlation index between the at least two existing fingerprint templates is further calculated based on the at least two existing fingerprint templates, and the specific process is similar to the above calculation of current fingerprint features The specific technical process is as follows: according to the fingerprint template data between the at least two existing fingerprint templates, the feature point matching index is obtained; according to the at least two existing fingerprint templates. The fingerprint images corresponding to two existing fingerprint templates obtain an image similarity index; according to the image similarity index and the feature point matching index, the finger association index between the at least two existing fingerprint templates, if the at least If the finger correlation index between two existing fingerprint templates is greater than or equal to the fusion threshold, then at least two existing fingerprint templates and the current fingerprint template generated according to the current fingerprint feature data will be fused and processed according to the current fingerprint The current fingerprint template generated by the characteristic data is stored in the storage unit.
进一步地,在一些应用场景中,若对于一标识(假如为1)来说,其对应有多张(假如为N)已有指纹模板的话,即所述多张已有指纹模板对应于同一用户的同一手指,因此在确定所述当前指纹特征数据与多张(即N张)已有指纹模板的手指关联指数时,首先计算所述当前指纹特征数据与每张已有指纹模板的指纹模板数据的特征点匹配指数、计算所述当前指纹特征数据对应的所述指纹图像与每张已有指纹模板的图像相似指数,从而得到多个(N个)特征点匹配指数、多个(N个)图像相似指数,对多个特征点匹配指数、多个图像相似指数进行加权处理,从而得到所述当前指纹特征数据与多张(即N张)已有指纹模板的手指关联指数,即又可以称之为与所述多张(即N张)已有指纹模板关联到同一手指(对应标识1)的手指关联指数(假如为F1)。如果对应另一标识(假如为2)来说,其同样也对应有多张(假如为M张)已有指纹模板的话,即所述多张已有指纹模板对应于同一用户的同一手指,因此在确定所述当前指纹特征数据与多张(即M张)已有指纹模板的手指关联指数时,首先计算所述当前指纹特征数据与每张已有指纹模板的指纹模板数据的特征点匹配指数、计算所述当前指纹特征数据对应的所述指纹图像与每张已有指纹模板的图像相似指数,从而得到多个(M个)特征点匹配指数、多个(M个)图像相似指数,对多个特征点匹配指数、多个图像相似指数进行加权处理,从而得到所述当前指纹特征数据与多张(即M张)已有指纹模板的手指关联指数,即又可以称之为与所述多张(即M张)已有指纹模板关联到同一手指(对应标识1)的手指关联指数(假如为F2)。若这两个手指关联指数(假如为F1、F2) 均大于等于融合门限,表明标识为1的多张(即M张)已有指纹模板和标识为2的多张(即M张)已有指纹模板对应于同一手指,需要标识1和2分别对应的多张(即N+M张)已有指纹模板进行融合处理。在融合处理时,对标识1和2分别对应的多张(即N+M张)已有指纹模板、根据当前指纹特征数据生成的当前指纹模板进行融合,即共计至少N+M+1张指纹模板进行融合,即给该至少N+M+1张指纹模板分配同一张标识。Further, in some application scenarios, if there are multiple (if N) existing fingerprint templates corresponding to an identifier (if 1), that is, the multiple existing fingerprint templates correspond to the same user Therefore, when determining the correlation index between the current fingerprint feature data and the fingers of multiple (ie N) existing fingerprint templates, first calculate the current fingerprint feature data and the fingerprint template data of each existing fingerprint template The fingerprint image corresponding to the current fingerprint feature data and the image similarity index of each existing fingerprint template are calculated to obtain multiple (N) feature point matching indexes, and multiple (N) Image similarity index, weighting processing of multiple feature point matching indexes and multiple image similarity indexes, so as to obtain the current fingerprint feature data and multiple (ie N) fingerprint template finger correlation indexes, which can also be called It is the finger association index (if F1) associated with the same finger (corresponding to identification 1) with the multiple (ie N) existing fingerprint templates. If it corresponds to another identification (if it is 2), it also corresponds to multiple (if M) existing fingerprint templates, that is, the multiple existing fingerprint templates correspond to the same finger of the same user, so When determining the finger correlation index between the current fingerprint feature data and multiple (ie M) existing fingerprint templates, first calculate the feature point matching index between the current fingerprint feature data and the fingerprint template data of each existing fingerprint template Calculate the fingerprint image corresponding to the current fingerprint feature data and the image similarity index of each existing fingerprint template, so as to obtain multiple (M) feature point matching indices and multiple (M) image similarity indices. Multiple feature point matching indexes and multiple image similarity indexes are weighted to obtain the finger correlation index between the current fingerprint feature data and multiple (ie M) existing fingerprint templates, which can also be referred to as Multiple (ie M) fingerprint templates are associated with the finger association index (if F2) of the same finger (corresponding to identification 1). If the correlation index of the two fingers (if F1 and F2) are both greater than or equal to the fusion threshold, it indicates that there are multiple fingerprint templates identified as 1 (ie M images) and multiple fingerprint templates identified as 2 (ie M images). The fingerprint template corresponds to the same finger, and it is necessary to identify multiple (ie N+M) existing fingerprint templates corresponding to 1 and 2 respectively for fusion processing. During the fusion process, multiple (ie N+M) existing fingerprint templates corresponding to IDs 1 and 2 respectively, and the current fingerprint template generated according to the current fingerprint characteristic data are fused, that is, a total of at least N+M+1 fingerprints The template is fused, that is, the same identification is assigned to the at least N+M+1 fingerprint templates.
具体地,比如将标识为2的多张(即M张)已有指纹模板的标识改为1,同时,根据当前指纹特征数据生成的当前指纹模板的标识也为1。或者,比如将标识为1的多张(即N张)已有指纹模板的标识改为2,同时,根据当前指纹特征数据生成的当前指纹模板的标识也为2。Specifically, for example, the identification of multiple existing fingerprint templates with the identification of 2 (ie, M) is changed to 1, and at the same time, the identification of the current fingerprint template generated according to the current fingerprint characteristic data is also 1. Or, for example, the identification of multiple (ie N) existing fingerprint templates with the identification of 1 is changed to 2. At the same time, the identification of the current fingerprint template generated according to the current fingerprint characteristic data is also 2.
S224B、若所述匹配结果表明与所述当前指纹特征数据对应于所述当前用户的同一手指的所述已有指纹模板张数为一张,则将所述当前指纹模板追加到所述已有指纹模板的标识下面,以为所述当前指纹模板以及所述已有指纹模板分配相同的标识。S224B. If the matching result indicates that the number of the existing fingerprint template corresponding to the same finger of the current user with the current fingerprint feature data is one, then the current fingerprint template is added to the existing fingerprint template. Below the identification of the fingerprint template, the same identification is assigned to the current fingerprint template and the existing fingerprint template.
本实施例中,步骤S224B的详细技术处理过程类上述步骤S224A中,如果计算得到所述当前指纹特征数据与一张所述已有指纹模板的手指关联指数大于等于追加门限,则根据所述当前指纹特征数据生成的当前指纹模板与所述已有指纹模板对应于同一用户的同一手指,因此,将所述当前指纹模板追加到所述已有指纹模板的标识下面,以为所述当前指纹模板以及所述已有指纹模板分配相同的标识。当然,在一些应用场景中,也可以重新给一张所述已有指纹模板重新分配标识,将所述当前指纹模板追加到所述重新分配的标识下面。In this embodiment, the detailed technical processing process of step S224B is similar to the above step S224A, if the calculated finger correlation index between the current fingerprint feature data and a piece of the existing fingerprint template is greater than or equal to the additional threshold, then according to the current The current fingerprint template generated by the fingerprint feature data corresponds to the same finger of the same user as the existing fingerprint template. Therefore, the current fingerprint template is appended to the identifier of the existing fingerprint template to assume that the current fingerprint template and The existing fingerprint templates are assigned the same identification. Of course, in some application scenarios, it is also possible to reassign an identifier to one of the existing fingerprint templates, and append the current fingerprint template to the reassigned identifier.
本实施例中,如果在一种应用场景中,如果计算得到所述当前指纹特征数据与一张所述已有指纹模板的手指关联指数大于等于追加门限时,则将该一张所述已有指纹模板视为与所述当前指纹特征数据对应于所述当前用户的同一手指,进一步将所述当前指纹模板追加到该一张所述已有指纹模板的标识下面。或者,在另外一种应用场景中,如果计算得到所述当前指纹特征数据与多张所述已有指纹模板的手指关联指数,若其中最大手指关联指数大于等于追加门限,则将最大手指关联指数对应的所述已有指纹模板视为与所述当前指纹特征数据对应于所述当前用户的同一手指,并将所述当前指纹模板追加到该最大手指关联指数对应的一张所述已有指纹模板的标识下面。In this embodiment, if in an application scenario, if the finger correlation index of the current fingerprint feature data and a piece of the existing fingerprint template is calculated to be greater than or equal to the additional threshold, then the piece of the existing fingerprint template The fingerprint template is regarded as the same finger of the current user corresponding to the current fingerprint characteristic data, and the current fingerprint template is further appended to the identification of the existing fingerprint template. Or, in another application scenario, if the current fingerprint feature data and the finger correlation index of multiple existing fingerprint templates are calculated, if the maximum finger correlation index is greater than or equal to the additional threshold, the maximum finger correlation index The corresponding existing fingerprint template is regarded as the same finger of the current user corresponding to the current fingerprint characteristic data, and the current fingerprint template is added to the existing fingerprint corresponding to the largest finger association index Below the logo of the template.
S224C、若所述匹配结果表明所述当前指纹特征数据和所述已有指纹模板对应于所述当前用户的不同手指,则为所述当前指纹模板分配标识且不同 于所述已有指纹模板的标识,并将所述当前指纹模板存储到所述存储单元上。S224C. If the matching result indicates that the current fingerprint feature data and the existing fingerprint template correspond to different fingers of the current user, assign an identifier to the current fingerprint template and be different from the one of the existing fingerprint template Identify, and store the current fingerprint template on the storage unit.
本实施例中,在步骤S224C中确定手指关联指数的如前所述,不同的是,手指关联指数小于等于新增门限时,表明所述当前指纹特征数据和所述已有指纹模板对应于所述当前用户的不同手指,为所述当前指纹模板分配标识,该标识不同于所述已有指纹模板的标识。In this embodiment, the determination of the finger association index in step S224C is as described above. The difference is that when the finger association index is less than or equal to the new threshold, it indicates that the current fingerprint feature data and the existing fingerprint template correspond to all The different fingers of the current user are assigned an identifier for the current fingerprint template, and the identifier is different from the identifier of the existing fingerprint template.
本实施例中,如果在一种应用场景中,存储单元上只存储有一张已有指纹模板,为了提高技术的时效性,可以为所述当前指纹模板分配标识,该标识不同于一张所述已有指纹模板的标识,即对直接按照新增指纹模板进行处理。In this embodiment, if in an application scenario, only one existing fingerprint template is stored on the storage unit, in order to improve the timeliness of the technology, the current fingerprint template can be assigned an identifier, which is different from the one described above. The identification of the existing fingerprint template is directly processed according to the newly added fingerprint template.
本实施例中,如果在再一种应用场景中,如果计算得到所述当前指纹特征数据与多张所述已有指纹模板的手指关联指数,若最大手指关联指数小于等于新增门限时,表明所述当前指纹特征数据和多张所述已有指纹模板对应于所述当前用户的不同手指,则为所述当前指纹模板分配标识,该标识不同于所述已有指纹模板的标识。若最大手指关联指数大于新增门限而小于追加门限时,则将所述当前指纹模板标记为待处理,比如存储到存储单元的待处理区。此时,采取假定存储管理的方式进一步确定如何对所述当前指纹模板进行存储管理。比如,根据最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数,若该手指关联指数大于等于融合门限时,则假定对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板进行融合处理。此处需要说明的是,仅仅是假定,并未进行实质性的融合处理操作。若该手指关联指数小于融合门限的话,则为当前指纹模板分配标识,并不同于多张所述已有指纹模板的标识,相当于进行了新增指纹模板处理。在假定对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板进行融合处理的条件下,若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际出现过融合处理,则表明当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板属于同一用户的同一手指,则计算当前指纹模板与最大手指关联指数对应的所述已有指纹特征模板或者次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数,若该手指关联指数大于等于追加门限,则将当前指纹模板追加到最大手指关联指数对应的所述已有指纹特征模板或者次最大手指关联指数对应的所述已有指纹特征模板的标识下。此处需要说明的是,当前 用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际出现过融合处理,实际上最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板具有相同的标识。若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际未出现过融合处理,则表明对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板进行融合处理的假定不成立,则为所述当前指纹模板分配标识,该标识不同于所述已有指纹模板的标识,相当于进行了新增加指纹模板处理。In this embodiment, if in another application scenario, if the current fingerprint characteristic data and the finger correlation index of multiple existing fingerprint templates are calculated, if the maximum finger correlation index is less than or equal to the new threshold, it indicates If the current fingerprint characteristic data and the plurality of existing fingerprint templates correspond to different fingers of the current user, then an identifier is assigned to the current fingerprint template, which is different from the identifier of the existing fingerprint template. If the maximum finger association index is greater than the newly added threshold but less than the additional threshold, the current fingerprint template is marked as pending processing, for example, stored in the pending area of the storage unit. At this time, a hypothetical storage management method is adopted to further determine how to perform storage management on the current fingerprint template. For example, according to the finger correlation index between the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index, if the finger correlation index is greater than or equal to the fusion threshold, then It is assumed that the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index are fused. What needs to be explained here is that it is only an assumption, and no substantial fusion processing operation is performed. If the finger correlation index is less than the fusion threshold, an identifier is assigned to the current fingerprint template, which is different from the identifiers of multiple existing fingerprint templates, which is equivalent to performing new fingerprint template processing. Under the assumption that the existing fingerprint feature template corresponding to the largest finger association index is fused with the existing fingerprint feature template corresponding to the second largest finger association index, if the current user’s finger presses it against the largest finger association index The corresponding existing fingerprint feature template and the existing fingerprint feature template corresponding to the second largest finger correlation index have actually undergone fusion processing, which indicates that the current user’s finger is pressed for the existing fingerprint corresponding to the largest finger correlation index If the feature template and the existing fingerprint feature template corresponding to the second largest finger association index belong to the same finger of the same user, then the current fingerprint template is calculated to correspond to the existing fingerprint feature template corresponding to the largest finger association index or the second largest finger association index If the finger association index is greater than or equal to the addition threshold, the current fingerprint template is added to the existing fingerprint feature template corresponding to the largest finger association index or the second largest finger association index The index corresponds to the identification of the existing fingerprint feature template. It should be noted here that after the current user’s finger is pressed, the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have actually undergone fusion processing. The existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have the same identification. If the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index have not actually undergone fusion processing after the finger of the current user is pressed, it indicates that the largest finger correlation index If the assumption that the corresponding existing fingerprint feature template is fused with the existing fingerprint feature template corresponding to the second largest finger correlation index is not established, then the current fingerprint template is assigned an identifier, which is different from the existing fingerprint The identification of the template is equivalent to a new fingerprint template processing.
上述实施例中,在上述对所述图像相似指数和所述特征点匹配指数进行加权处理得到手指关联指数之后,分别与新增门限、追加门限、融合门限进行比对,确定是满足新增指纹模板处理或者追加指纹模板处理或者指纹模板融合处理,而其中为所述图像相似指数和所述特征点匹配指数分配的权重保持不变。In the foregoing embodiment, after the image similarity index and the feature point matching index are weighted to obtain the finger association index, they are compared with the newly added threshold, the additional threshold, and the fusion threshold, respectively, and it is determined that the new fingerprint is satisfied. Template processing or additional fingerprint template processing or fingerprint template fusion processing, and the weights assigned to the image similarity index and the feature point matching index remain unchanged.
与上述实施例不同的是,对于本领域普通技术人员来说,实际上可以根据应用场景,考虑到减少数据量,以及提高时效性,对上述确定是满足新增指纹模板处理或者追加指纹模板处理或者指纹模板融合处理进行一个预先设置,并在对所述图像相似指数和所述特征点匹配指数进行加权处理时,对于新增指纹模板处理或者追加指纹模板处理或者指纹模板融合处理采取不同的权重。比如,首先确定是否需要指纹模板融合处理、再确定是否需要指纹模板追加处理、最后再确定时候需要指纹模板新增处理。具体地,在假设需要进行指纹模板融合处理,并基于针对指纹模板融合处理的权重,对所述图像相似指数和所述特征点匹配指数进行加权处理,得到手指关联指数,若该手指关联指数大于等于融合门限,则确定需要进行指纹模板融合处理;若该手指关联指数小于融合门限,则进一步假设需要进行指纹模板追加处理,基于针对指纹模板追加处理的权重,对所述图像相似指数和所述特征点匹配指数进行加权处理,得到手指关联指数,与上述假设进行指纹模板融合处理时计算手指关联指数不同的是,在假定指纹模板追加处理而计算手指关联指数时,所述特征点匹配指数的权重会变大,所述图像相似指数的权重变小。该手指关联指数大于等于追加门限,则确定需要进行指纹模板追加处理;若该手指关联指数小于追加门限,则最后再假设需要进行指纹模板新增处理,并基于针对指纹模板新增处理的权重,对所述图像相似指数和所述特征点匹配指数进行加权处理,得到手指关联指数,针 对指纹模板新增处理的权重与针对指纹模板追加处理的权重相同,若该手指关联指数小于等于新增门限,则确定需要进行指纹模板新增处理;否则,无法得出确定需要进行指纹模板新增处理的定论,将所述当前指纹模板标记为待处理,比如存储到存储单元的待处理区,按照上述有关手指关联指数大于新增门限时的处理过程进行处理,详细请参见上述实施例。The difference from the above-mentioned embodiment is that for those of ordinary skill in the art, it is actually possible to reduce the amount of data and improve the timeliness according to the application scenario, and the above determination is to satisfy the new fingerprint template processing or the additional fingerprint template processing Or the fingerprint template fusion processing is set in advance, and when the image similarity index and the feature point matching index are weighted, different weights are adopted for the new fingerprint template processing or additional fingerprint template processing or fingerprint template fusion processing . For example, first determine whether fingerprint template fusion processing is required, then determine whether fingerprint template addition processing is required, and finally, when fingerprint template addition processing is required, when determining the final step. Specifically, assuming that fingerprint template fusion processing is required, and based on the weights for fingerprint template fusion processing, weighting the image similarity index and the feature point matching index to obtain the finger association index, if the finger association index is greater than If it is equal to the fusion threshold, it is determined that fingerprint template fusion processing is required; if the finger correlation index is less than the fusion threshold, it is further assumed that fingerprint template addition processing is required. Based on the weight of the fingerprint template additional processing, the image similarity index and the The feature point matching index is weighted to obtain the finger association index. The difference from the calculation of the finger association index when the fingerprint template fusion process is assumed above is that when the fingerprint template is added to calculate the finger association index, the characteristic point matching index is The weight will become larger, and the weight of the image similarity index will become smaller. If the finger correlation index is greater than or equal to the additional threshold, it is determined that additional fingerprint template processing is required; if the finger correlation index is less than the additional threshold, then it is finally assumed that fingerprint template additional processing is required, and based on the weight of fingerprint template additional processing, Perform weighting processing on the image similarity index and the feature point matching index to obtain the finger association index. The weight of the fingerprint template addition processing is the same as the fingerprint template addition processing weight. If the finger association index is less than or equal to the addition threshold , It is determined that the new fingerprint template needs to be processed; otherwise, it cannot be concluded that the new fingerprint template needs to be processed, and the current fingerprint template is marked to be processed, such as stored in the processing area of the storage unit, according to the above For processing when the finger association index is greater than the newly added threshold, please refer to the foregoing embodiment for details.
对于上述新增门限、追加门限、融合门限来说,新增门限一般小于追加门限,由于得到参与是否进行融合处理时计算手指关联指数的权重不同于参与追加指纹模板处理或者新增指纹模板处理,因此,融合门限和新增门限、追加门限的大小并无绝对关系,实际上,本领域技术人员可以根据经验统计值进行灵活设定。For the above-mentioned new threshold, additional threshold, and fusion threshold, the new threshold is generally smaller than the additional threshold. Because the weight of calculating the finger association index when obtaining whether to participate in fusion processing is different from participating in additional fingerprint template processing or new fingerprint template processing, Therefore, there is no absolute relationship between the fusion threshold and the size of the newly added threshold and the additional threshold. In fact, those skilled in the art can set it flexibly based on empirical statistical values.
图4为本申请实施例四中示例性说明管理指纹模板的实例示意图;如图4所示,用户的手指在按压到指纹传感器的指纹采集区时,与指纹采集于接触的手指具体区域可能存在差异,由此导致可能形成的已有指纹模板有多张,尤其与指纹采集于接触的手指具体区域在物理位置上没有任何关联时,比如图4中手指具体区域A与指纹采集区接触,得到已有指纹模板是基于手指具体区域A的,而另一张手指具体区域B与指纹采集区域接触,得到已有指纹模板是基于手指具体区域A的,而参见图4可见,手指具体区域A和手指具体区域B在指纹上并没有任何的物理重叠,由此导致对应这两个手指具体区域的已有指纹模板具有不同的标识,比如对应于手指具体区域A的已有指纹模板,其标识为1,而对应于手指具体区域B的已有指纹模板,其标识为2。而因另外一手指具体区域C与指纹采集区接触得到当前指纹特征数据,所述当前指纹特征数据与标识为1的已有指纹模板和标识为2的已有指纹模板分别进行匹配得到一张手指关联指数,若所述两个手指关联指数大于等于融合门限,表明标识为1的已有指纹模板和标识为2对应于同一手指,需要对这两张已有指纹模板进行融合处理。如果要生成对应手指具体区域C的指纹模板的话,共计会有三张指纹模板(两张已有指纹模板、根据对应手指具体区域C的指纹模板),则在融合处理时,对这个三张指纹模板进行融合,即给这三张指纹模板分配同一张标识。Fig. 4 is a schematic diagram illustrating an example of managing fingerprint templates in the fourth embodiment of the application; as shown in Fig. 4, when the user’s finger presses the fingerprint collection area of the fingerprint sensor, the specific area of the finger that is in contact with the fingerprint collection may exist Differences, resulting in multiple existing fingerprint templates that may be formed, especially when there is no physical position related to the specific area of the finger where the fingerprint is collected. For example, the specific area A of the finger in Figure 4 is in contact with the fingerprint collection area, and the result is The existing fingerprint template is based on the specific area A of the finger, and another specific area B of the finger is in contact with the fingerprint collection area, and the existing fingerprint template is based on the specific area A of the finger. The specific area B of the finger does not have any physical overlap on the fingerprint. As a result, the existing fingerprint templates corresponding to the specific areas of the two fingers have different identifications. For example, the existing fingerprint template corresponding to the specific area A of the finger is identified as 1. The existing fingerprint template corresponding to the specific area B of the finger is identified as 2. And because the specific area C of another finger touches the fingerprint collection area to obtain the current fingerprint feature data, the current fingerprint feature data is matched with the existing fingerprint template identified as 1 and the existing fingerprint template identified as 2, respectively, to obtain a finger Correlation index. If the correlation index of the two fingers is greater than or equal to the fusion threshold, it indicates that the existing fingerprint template with ID 1 and the ID 2 correspond to the same finger, and the two existing fingerprint templates need to be fused. If you want to generate a fingerprint template corresponding to the specific area C of the finger, there will be a total of three fingerprint templates (two existing fingerprint templates, according to the fingerprint template corresponding to the specific area C of the finger). For fusion, the same identification is assigned to the three fingerprint templates.
具体地,比如将对应于手指具体区域B的已有指纹模板的标识由2改为1,同时,根据对应手指具体区域C的指纹模板的标识也为1。或者,比如将对应于手指具体区域A的已有指纹模板的标识由1改为2,同时,根据对应手指具体区域C的指纹模板的标识也为2。Specifically, for example, the identification of the existing fingerprint template corresponding to the specific area B of the finger is changed from 2 to 1, and at the same time, the identification of the fingerprint template corresponding to the specific area C of the finger is also 1. Or, for example, the identification of the existing fingerprint template corresponding to the specific area A of the finger is changed from 1 to 2, and at the same time, the identification of the fingerprint template corresponding to the specific area C of the finger is also 2.
本实施例中,在融合处理时被舍弃的标识被回收,可完成对当前指纹模板数据的存储管理之后,分配给后续新的指纹模板。In this embodiment, the identifier discarded during the fusion process is recovered, and the storage management of the current fingerprint template data can be completed, and then it can be allocated to a subsequent new fingerprint template.
在上述实施例基础上,考虑到存储单元一般都有数据量存储的上限,上述技术方案中还包括:处理单元进一步用于根据设定的数据存储门限启动对所述存储单元上存储的指纹模板的清除处理。On the basis of the foregoing embodiment, considering that the storage unit generally has an upper limit for the amount of data storage, the foregoing technical solution further includes: the processing unit is further configured to activate the fingerprint template stored on the storage unit according to the set data storage threshold The removal process.
具体地,所述处理单元进一步用于根据同一手指的多张指纹模板的使用频率和指纹模板的总张数得到清除指数,当所述清除指数达到清除指数门限时,则对所述存储单元上存储的所述同一手指的多张指纹模板以及对应的标识进行清除处理。具体地,对使用频率和指纹模板的总张数进行加权处理得到清除指数,该使用频率比如为同一手指的多张指纹模板使用频率总和。Specifically, the processing unit is further configured to obtain the removal index according to the frequency of use of multiple fingerprint templates of the same finger and the total number of fingerprint templates, and when the removal index reaches the removal index threshold, the storage unit The stored multiple fingerprint templates and corresponding identifications of the same finger are cleared. Specifically, the use frequency and the total number of fingerprint templates are weighted to obtain the removal index, and the use frequency is, for example, the sum of the use frequencies of multiple fingerprint templates of the same finger.
在其他实施例中,若所述指纹原始数据与所述存储单元中的已有指纹模板均不匹配,则所述处理单元进一步用于根据所述指纹原始数据生成新的指纹模板存入所述存储单元。此时,可以如果是对应同一手指,则与该同一手指对应的已有指纹模板具有相同的标识,如果是对应不同手指,则给该新的指纹模板分配新的标识,以不同于已有指纹模板具有的标识。In other embodiments, if the original fingerprint data does not match the existing fingerprint template in the storage unit, the processing unit is further configured to generate a new fingerprint template according to the original fingerprint data and store it in the Storage unit. At this time, if it corresponds to the same finger, the existing fingerprint template corresponding to the same finger has the same identification; if it corresponds to a different finger, the new fingerprint template is assigned a new identification, which is different from the existing fingerprint. The identifier that the template has.
另外,如果在所述存储单元存储的指纹模板为空时,将所述指纹传感器首次采集到的指纹原始数据作为初始指纹模板存入所述存储单元,后续在此初始指纹模板的基础上进行指纹模板的新增、融合或者追加等指纹模板处理。In addition, if the fingerprint template stored in the storage unit is empty, the original fingerprint data collected by the fingerprint sensor for the first time is stored in the storage unit as the initial fingerprint template, and fingerprints are subsequently performed on the basis of this initial fingerprint template. Fingerprint template processing such as adding, merging or adding templates.
最后,需要说明的是,上述实施例中,指纹模板、标识、手指的对应关系,只是从识别角度进行的相对定义,并非绝对定义。从指纹模板的管理角度来看,可能存在尽管两个指纹模板具有不同的标识,但实际上这两个指纹模板对应同一手指的情形。Finally, it should be noted that, in the above embodiments, the corresponding relationship between the fingerprint template, the identification, and the finger is only a relative definition from the perspective of recognition, not an absolute definition. From the perspective of fingerprint template management, there may be situations in which two fingerprint templates actually correspond to the same finger even though the two fingerprint templates have different identifiers.
本实施例还提供一种电子设备,其包括上述实施例中的指纹识别装置。This embodiment also provides an electronic device, which includes the fingerprint identification device in the foregoing embodiment.
本申请实施例的电子设备以多种形式存在,比如包括家庭用中的遥控器、智能家居等,也不限于:The electronic devices in the embodiments of the present application exist in various forms, for example, including remote controllers for home use, smart homes, etc., and are not limited to:
(1)移动通信设备:这类设备的特点是具备移动通信功能,并且以提供话音、数据通信为主要目标。这类终端包括:智能手机(例如iPhone)、多媒体手机、功能性手机,以及低端手机等。(1) Mobile communication equipment: This type of equipment is characterized by mobile communication functions, and its main goal is to provide voice and data communications. Such terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.
(2)超移动个人计算机设备:这类设备属于个人计算机的范畴,有计算和处理功能,一般也具备移动上网特性。这类终端包括:PDA、MID和UMPC设备等,例如iPad。(2) Ultra-mobile personal computer equipment: This type of equipment belongs to the category of personal computers, has calculation and processing functions, and generally also has mobile Internet features. Such terminals include: PDA, MID and UMPC devices, such as iPad.
(3)便携式娱乐设备:这类设备可以显示和播放多媒体内容。该类设备 包括:音频、视频播放器(例如iPod),掌上游戏机,电子书,以及智能玩具和便携式车载导航设备。(3) Portable entertainment equipment: This type of equipment can display and play multimedia content. Such devices include: audio, video players (such as iPod), handheld game consoles, e-books, as well as smart toys and portable car navigation devices.
(4)服务器:提供计算服务的设备,服务器的构成包括处理器810、硬盘、内存、系统总线等,服务器和通用的计算机架构类似,但是由于需要提供高可靠的服务,因此在处理能力、稳定性、可靠性、安全性、可扩展性、可管理性等方面要求较高。(4) Server: A device that provides computing services. The composition of a server includes a processor 810, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has High requirements in terms of performance, reliability, security, scalability, and manageability.
(5)其他具有数据交互功能的电子装置。(5) Other electronic devices with data interaction functions.
还需要说明的是,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一张……”限定的要素,并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, product or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or include elements inherent to this process, method, commodity, or equipment. If there are no more restrictions, the element defined by the sentence "including a piece of..." does not exclude the existence of other identical elements in the process, method, commodity or equipment that includes the element.
本领域技术人员应明白,本申请的实施例可提供为方法、系统或计算机程序产品。因此,本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且,本申请可采用在一张或多张其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, this application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
本申请可以在由计算机执行的计算机可执行指令的一般上下文中描述,例如程序模块。一般地,程序模块包括执行特定事务或实现特定抽象数据类型的例程、程序、对象、组件、数据结构等等。也可以在分布式计算环境中实践本申请,在这些分布式计算环境中,由通过通信网络而被连接的远程处理设备来执行事务。在分布式计算环境中,程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。This application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific transactions or implement specific abstract data types. This application can also be practiced in distributed computing environments. In these distributed computing environments, remote processing devices connected through a communication network execute transactions. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.
本说明书中的各个实施例均采用递进的方式描述,各个实施例之间相同相似的部分互相参见即可,每个实施例重点说明的都是与其他实施例的不同之处。尤其,对于系统实施例而言,由于其基本相似于方法实施例,所以描述的比较简单,相关之处参见方法实施例的部分说明即可。The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.
以上所述仅为本申请的实施例而已,并不用于限制本申请。对于本领域技术人员来说,本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等,均应包含在本申请的权利要求范围之内。The above descriptions are only examples of this application and are not used to limit this application. For those skilled in the art, this application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims (39)

  1. 一种指纹识别装置,其特征在于,包括:A fingerprint identification device, characterized by comprising:
    存储单元,所述存储单元用于存储指纹模板;A storage unit, the storage unit is used to store a fingerprint template;
    指纹传感器,所述指纹传感器上设置有指纹采集区,用于当前用户的手指按压在所述指纹采集区上时采集所述手指的指纹原始数据;以及A fingerprint sensor, the fingerprint sensor is provided with a fingerprint collection area for collecting the original fingerprint data of the finger when the current user's finger is pressed on the fingerprint collection area; and
    处理单元,所述处理单元用于根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理。The processing unit is configured to perform fingerprint template storage management according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit.
  2. 根据权利要求1所述的指纹识别装置,其特征在于,所述处理单元进一步用于:The fingerprint identification device according to claim 1, wherein the processing unit is further configured to:
    根据所述指纹原始数据与所述已有指纹模板的指纹模板数据得到特征点匹配指数;Obtaining a feature point matching index according to the original fingerprint data and the fingerprint template data of the existing fingerprint template;
    根据所述指纹原始数据对应的指纹图像与所述已有指纹模板对应的指纹图像得到图像相似指数;Obtaining an image similarity index according to the fingerprint image corresponding to the original fingerprint data and the fingerprint image corresponding to the existing fingerprint template;
    根据所述图像相似指数和所述特征点匹配指数进行指纹模板存储管理。Perform fingerprint template storage management according to the image similarity index and the feature point matching index.
  3. 根据权利要求2所述的指纹识别装置,其特征在于,所述处理单元进一步用于根据所述图像相似指数和所述特征点匹配指数得到手指关联指数,根据手指关联指数进行指纹模板存储管理。The fingerprint identification device according to claim 2, wherein the processing unit is further configured to obtain a finger association index according to the image similarity index and the feature point matching index, and perform fingerprint template storage management according to the finger association index.
  4. 根据权利要求3所述的指纹识别装置,其特征在于,所述处理单元进一步用于根据手指关联指数与手指关联指数门限的关系,确定所述匹配结果。The fingerprint identification device according to claim 3, wherein the processing unit is further configured to determine the matching result according to the relationship between the finger correlation index and the finger correlation index threshold.
  5. 根据权利要求4所述的指纹识别装置,其特征在于,所述指纹模板存储管理包括新增指纹模板处理,融合指纹模板处理,追加指纹模板处理中的至少一种。The fingerprint identification device according to claim 4, wherein the fingerprint template storage management includes at least one of new fingerprint template processing, fusion fingerprint template processing, and fingerprint template addition processing.
  6. 根据权利要求5所述的指纹识别装置,其特征在于,所述手指关联指数门限包括新增门限、追加门限以及融合门限中的至少一种;若所述手指关联指数小于等于新增门限,则所述处理单元进一步用于执行所述新增指纹模板处理以对所述指纹原始数据对应的当前指纹模板存储到所述存储单元中;若所述手指关联指数大于等于追加门限,则所述处理单元进一步用于执行所述追加指纹模板处理以对所述存储单元存储的已有指纹模板的基础上追加所述指纹原始数据对应的当前指纹模板;若所述手指关联指数大于等于融合门限,则所述处理单元进一步用于执行所述融合指纹模板处理以对所述存储单元存储的已有指纹模板以及所述指纹原始数据对应的当前指纹模板进行融合处理。The fingerprint identification device according to claim 5, wherein the finger association index threshold comprises at least one of a new threshold, an additional threshold, and a fusion threshold; if the finger association index is less than or equal to the new threshold, then The processing unit is further configured to perform the processing of the newly added fingerprint template to store the current fingerprint template corresponding to the original fingerprint data in the storage unit; if the finger correlation index is greater than or equal to an additional threshold, the processing The unit is further configured to perform the additional fingerprint template processing to add the current fingerprint template corresponding to the original fingerprint data on the basis of the existing fingerprint template stored in the storage unit; if the finger association index is greater than or equal to the fusion threshold, then The processing unit is further configured to perform the fusion fingerprint template processing to perform fusion processing on the existing fingerprint template stored in the storage unit and the current fingerprint template corresponding to the original fingerprint data.
  7. 根据权利要求6所述的指纹识别装置,其特征在于,所述处理单元进一步用于预先假定执行所述融合指纹模板处理,根据所述图像相似指数和所述特征点匹配指数的权重得到手指关联指数;若所述手指关联指数大于等于所述融合门限,则所述处理单元执行所述融合指纹模板处理;若所述手指关联指数小于融合门限,则所述处理单元进一步用于再假定执行所述追加指纹模板处理,并调整所述图像相似指数和所述特征点匹配指数的权重重新计算手指关联指数,若重新计算得到的所述手指关联指数大于等于追加门限,所述处理单元执行所述追加指纹模板处理;若重新计算得到的所述手指关联指数小于追加门限,且小于等于新增门限,则执行所述新增指纹模板处理。The fingerprint identification device according to claim 6, wherein the processing unit is further configured to presume to perform the fusion fingerprint template processing, and obtain the finger association according to the weight of the image similarity index and the feature point matching index Index; if the finger association index is greater than or equal to the fusion threshold, the processing unit executes the fusion fingerprint template processing; if the finger association index is less than the fusion threshold, the processing unit is further configured to assume the execution of the The additional fingerprint template is processed, and the weights of the image similarity index and the feature point matching index are adjusted to recalculate the finger association index. If the recalculated finger association index is greater than or equal to the additional threshold, the processing unit executes the Additional fingerprint template processing; if the recalculated finger correlation index is less than the additional threshold and less than or equal to the additional threshold, then the newly-added fingerprint template processing is performed.
  8. 根据权利要求7所述的指纹识别装置,其特征在于,当所述已有指纹模板张数为多张时,对应地,重新计算得到的所述手指关联指数为多个,其中最大手指关联指数小于追加门限,且大于所述新增门限,则所述处理单元进一步用于将所述当前指纹模板标记为待处理,并若最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数大于融合门限时,则假定对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板进行融合处理,若最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数小于融合门限,则执行所述新增指纹模板处理。The fingerprint identification device according to claim 7, wherein when the number of the existing fingerprint template is multiple, correspondingly, the recalculated finger correlation index is multiple, wherein the largest finger correlation index Less than the additional threshold and greater than the additional threshold, the processing unit is further configured to mark the current fingerprint template as to be processed, and if the existing fingerprint feature template corresponding to the largest finger association index and the second largest finger When the finger correlation index between the existing fingerprint feature templates corresponding to the correlation index is greater than the fusion threshold, it is assumed that the existing fingerprint feature template corresponding to the largest finger correlation index corresponds to the second largest finger correlation index. The fingerprint feature template is fused, and if the finger correlation index between the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index is less than the fusion threshold, the execution Add fingerprint template processing.
  9. 根据权利要求8所述的指纹识别装置,其特征在于,若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际出现过融合处理,则所述处理单元进一步用于计算当前指纹模板与最大手指关联指数对应的所述已有指纹特征模板或者次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数,若其大于追加门限,则执行所述追加指纹模板处理。The fingerprint identification device according to claim 8, wherein if the current user’s finger presses the existing fingerprint feature template corresponding to the largest finger association index and the existing fingerprint feature corresponding to the second largest finger association index If the template has actually undergone fusion processing, the processing unit is further used to calculate the relationship between the current fingerprint template and the existing fingerprint feature template corresponding to the largest finger correlation index or the existing fingerprint feature template corresponding to the second largest finger correlation index. If it is greater than the additional threshold, execute the additional fingerprint template processing.
  10. 根据权利要求9所述的指纹识别装置,其特征在于,若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际未出现过融合处理,则执行所述新增指纹模板处理。The fingerprint identification device according to claim 9, wherein if the current user’s finger presses the existing fingerprint feature template corresponding to the largest finger association index and the existing fingerprint feature corresponding to the second largest finger association index If the template has not actually undergone fusion processing, the new fingerprint template processing is executed.
  11. 根据权利要求1所述的指纹识别装置,其特征在于,若所述匹配结果表明指纹原始数据和所述已有指纹模板对应于所述当前用户的同一手指,所述处理单元进一步用于所述指纹原始数据对应的当前指纹模板以及所述已有指纹 模板分配相同的标识,并将所述当前指纹模板存储到所述存储单元上,具有相同所述标识的所述当前指纹模板以及所述已有指纹模板对应于同一手指。The fingerprint identification device according to claim 1, wherein if the matching result indicates that the original fingerprint data and the existing fingerprint template correspond to the same finger of the current user, the processing unit is further used for the The current fingerprint template corresponding to the original fingerprint data and the existing fingerprint template are assigned the same identifier, and the current fingerprint template is stored on the storage unit. The current fingerprint template and the existing fingerprint template having the same identifier are assigned the same identifier. There are fingerprint templates corresponding to the same finger.
  12. 根据权利要求11所述的指纹识别装置,其特征在于,若所述匹配结果表明与所述指纹原始数据对应于所述当前用户的同一手指的所述已有指纹模板张数为一张,为所述当前指纹模板以及所述已有指纹模板分配相同的标识,包括:将所述当前指纹模板追加到所述已有指纹模板的标识下面,以为所述当前指纹模板以及所述已有指纹模板分配相同的标识。The fingerprint identification device according to claim 11, wherein if the matching result shows that the number of the existing fingerprint template corresponding to the same finger of the current user as the original fingerprint data is one, Assigning the same identifier to the current fingerprint template and the existing fingerprint template includes: appending the current fingerprint template to the identifier of the existing fingerprint template to identify the current fingerprint template and the existing fingerprint template Assign the same ID.
  13. 根据权利要求11所述的指纹识别装置,其特征在于,若所述匹配结果表明与所述指纹原始数据对应于所述当前用户的同一手指的所述已有指纹模板张数为多张,则为所述当前指纹模板以及所述已有指纹模板分配相同的标识,包括:对多张所述已有指纹模板的标识进行融合处理,以为所述当前指纹模板以及多张所述已有指纹模板分配相同的标识。The fingerprint identification device according to claim 11, wherein if the matching result indicates that the number of existing fingerprint templates corresponding to the same finger of the current user as the original fingerprint data is multiple, then Assigning the same identification to the current fingerprint template and the existing fingerprint template includes: fusing the identifications of multiple existing fingerprint templates to obtain the current fingerprint template and multiple existing fingerprint templates Assign the same ID.
  14. 根据权利要求1所述的指纹识别装置,其特征在于,若所述匹配结果表明所述指纹原始数据和所述已有指纹模板对应于所述当前用户的不同手指,则所述处理单元进一步用于所述当前指纹特征对应的当前指纹模板分配标识,为所述当前指纹模板分配的标识不同于所述已有指纹模板的标识,并将所述当前指纹模板存储到所述存储单元上。The fingerprint identification device according to claim 1, wherein if the matching result indicates that the original fingerprint data and the existing fingerprint template correspond to different fingers of the current user, the processing unit further uses Assign an identifier to the current fingerprint template corresponding to the current fingerprint feature, the identifier assigned to the current fingerprint template is different from the identifier of the existing fingerprint template, and the current fingerprint template is stored on the storage unit.
  15. 根据权利要求1所述的指纹识别装置,其特征在于,若所述指纹原始数据与所述存储单元中的已有指纹模板均不匹配,则所述处理单元进一步用于根据所述指纹原始数据生成新的指纹模板存入所述存储单元。The fingerprint identification device according to claim 1, wherein if the original fingerprint data does not match an existing fingerprint template in the storage unit, the processing unit is further configured to perform according to the original fingerprint data A new fingerprint template is generated and stored in the storage unit.
  16. 根据权利要求1-15任一项所述的指纹识别装置,其特征在于,所述处理单元进一步用于在所述存储单元存储的指纹模板为空时,将所述指纹传感器首次采集到的指纹原始数据作为初始指纹模板存入所述存储单元。The fingerprint identification device according to any one of claims 1-15, wherein the processing unit is further configured to: when the fingerprint template stored in the storage unit is empty, the fingerprint that is first collected by the fingerprint sensor The original data is stored in the storage unit as an initial fingerprint template.
  17. 根据权利要求1-16任一项所述的指纹识别装置,其特征在于,所述指纹原始数据为单次按压所述指纹采集区获得的指纹原始数据。The fingerprint identification device according to any one of claims 1-16, wherein the original fingerprint data is the original fingerprint data obtained by pressing the fingerprint collection area for a single time.
  18. 根据权利要求1-17任一项所述的指纹识别装置,其特征在于,所述指纹原始数据为非注册模式下获得的指纹原始数据。The fingerprint identification device according to any one of claims 1-17, wherein the original fingerprint data is the original fingerprint data obtained in the non-registered mode.
  19. 根据权利要求1-18任一项所述的指纹识别装置,其特征在于,所述处理单元进一步用于根据所述存储单元中的已有指纹模板对所述指纹原始数据进行识别。The fingerprint identification device according to any one of claims 1-18, wherein the processing unit is further configured to identify the original fingerprint data according to an existing fingerprint template in the storage unit.
  20. 一种电子设备,其特征在于,包括权利要求1-19任一项所述的指纹识别装置。An electronic device, characterized by comprising the fingerprint identification device according to any one of claims 1-19.
  21. 一种指纹识别方法,其特征在于,包括:A fingerprint identification method, characterized in that it comprises:
    当前用户的手指按压在指纹传感器的指纹采集区上时采集所述手指的指纹原始数据;Collect the original fingerprint data of the current user when the finger of the current user presses the fingerprint collection area of the fingerprint sensor;
    根据所述指纹原始数据与存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理。The fingerprint template storage management is performed according to the matching result of the original fingerprint data and the existing fingerprint template in the storage unit.
  22. 根据权利要求21所述的指纹识别方法,其特征在于,根据所述指纹原始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理以对目标指纹进行识别包括:The fingerprint identification method according to claim 21, wherein the fingerprint template storage management based on the matching result of the original fingerprint data and the existing fingerprint template in the storage unit to identify the target fingerprint comprises:
    根据所述指纹原始数据与所述已有指纹模板的指纹模板数据得到特征点匹配指数;Obtaining a feature point matching index according to the original fingerprint data and the fingerprint template data of the existing fingerprint template;
    根据所述指纹原始数据对应的指纹图像与所述已有指纹模板对应的指纹图像得到图像相似指数;Obtaining an image similarity index according to the fingerprint image corresponding to the original fingerprint data and the fingerprint image corresponding to the existing fingerprint template;
    根据所述图像相似指数和所述特征点匹配指数进行指纹模板存储管理。Perform fingerprint template storage management according to the image similarity index and the feature point matching index.
  23. 根据权利要求22所述的指纹识别方法,其特征在于,根据所述图像相似指数和所述特征点匹配指数进行指纹模板存储管理,包括:根据所述图像相似指数和所述特征点匹配指数得到手指关联指数,根据手指关联指数进行指纹模板存储管理。The fingerprint identification method according to claim 22, wherein performing fingerprint template storage management according to the image similarity index and the feature point matching index comprises: obtaining the fingerprint template according to the image similarity index and the feature point matching index Finger correlation index, according to finger correlation index for fingerprint template storage management.
  24. 根据权利要求23所述的指纹识别方法,其特征在于,根据手指关联指数进行指纹模板存储管理,包括:根据手指关联指数与手指关联指数门限的关系,确定所述匹配结果。The fingerprint identification method according to claim 23, wherein the fingerprint template storage management according to the finger association index comprises: determining the matching result according to the relationship between the finger association index and the finger association index threshold.
  25. 根据权利要求24所述的指纹识别方法,其特征在于,所述指纹模板存储管理把包括新增指纹模板处理,融合指纹模板处理,追加指纹模板处理中的至少一种。The fingerprint identification method according to claim 24, wherein the fingerprint template storage management handle includes at least one of new fingerprint template processing, fusion fingerprint template processing, and fingerprint template addition processing.
  26. 根据权利要求25所述指纹识别方法,其特征在于,所述手指关联指数门限包括新增门限、追加门限以及融合门限中的至少一种;若所述手指关联指数小于等于新增门限,则执行所述新增指纹模板处理以对所述指纹原始数据对应的当前指纹模板存储到存储单元中;若所述手指关联指数大于等于追加门限,则执行所述追加指纹模板处理以对所述存储单元存储的已有指纹模板的基础上追加所述指纹原始数据对应的当前指纹模板;若所述手指关联指数大于等于融合门限,则执行所述融合指纹模板处理以对所述存储单元存储的已有指纹模板以及所述指纹原始数据对应的当前指纹模板进行融合处理。The fingerprint identification method according to claim 25, wherein the finger association index threshold includes at least one of a new threshold, an additional threshold, and a fusion threshold; if the finger association index is less than or equal to the new threshold, execute The new fingerprint template processing is to store the current fingerprint template corresponding to the original fingerprint data in the storage unit; if the finger correlation index is greater than or equal to the additional threshold, the additional fingerprint template processing is executed to perform the processing on the storage unit The current fingerprint template corresponding to the original fingerprint data is added to the stored existing fingerprint template; if the finger correlation index is greater than or equal to the fusion threshold, the fusion fingerprint template processing is executed to perform processing on the existing fingerprint template stored in the storage unit The fingerprint template and the current fingerprint template corresponding to the original fingerprint data are fused.
  27. 根据权利要求26所述指纹识别方法,其特征在于,根据所述指纹原 始数据与所述存储单元中的已有指纹模板的匹配结果进行指纹模板存储管理以对目标指纹进行识别包括:预先假定执行所述融合指纹模板处理,根据所述图像相似指数和所述特征点匹配指数的权重得到手指关联指数;若所述手指关联指数大于等于所述融合门限,则所执行所述融合指纹模板处理;若所述手指关联指数小于融合门限,则再假定执行所述追加指纹模板处理,并调整所述图像相似指数和所述特征点匹配指数的权重重新计算手指关联指数,若重新计算得到的所述手指关联指数大于等于追加门限,则执行所述追加指纹模板处理;若重新计算得到的所述手指关联指数小于追加门限,且小于等于新增门限,则执行所述新增指纹模板处理。The fingerprint identification method according to claim 26, wherein the fingerprint template storage management based on the matching result of the original fingerprint data and the existing fingerprint template in the storage unit to identify the target fingerprint comprises: presupposing execution The fusion fingerprint template processing is to obtain the finger association index according to the weight of the image similarity index and the feature point matching index; if the finger association index is greater than or equal to the fusion threshold, the fusion fingerprint template processing is executed; If the finger correlation index is less than the fusion threshold, then it is assumed that the additional fingerprint template processing is performed, and the weights of the image similarity index and the feature point matching index are adjusted to recalculate the finger correlation index. If the finger correlation index is greater than or equal to the additional threshold, the additional fingerprint template processing is executed; if the recalculated finger correlation index is less than the additional threshold and less than or equal to the additional threshold, then the additional fingerprint template processing is executed.
  28. 根据权利要求27所述的指纹识别方法,其特征在于,当所述已有指纹模板张数为多张时,对应地,重新计算得到的所述手指关联指数为多个,其中最大手指关联指数小于追加门限,且大于所述新增门限,则将所述当前指纹模板标记为待处理,并若最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数大于融合门限时,则假定对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板进行融合处理,若最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数小于融合门限,则执行所述新增指纹模板处理。The fingerprint identification method according to claim 27, wherein when the number of the existing fingerprint template is multiple, correspondingly, the recalculated finger correlation index is multiple, wherein the largest finger correlation index Is less than the additional threshold and greater than the new threshold, then the current fingerprint template is marked as pending, and if the existing fingerprint feature template corresponding to the largest finger correlation index corresponds to the second largest finger correlation index, the existing fingerprint template When the finger correlation index between fingerprint feature templates is greater than the fusion threshold, it is assumed that the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index are fused, If the finger correlation index between the existing fingerprint feature template corresponding to the largest finger correlation index and the existing fingerprint feature template corresponding to the second largest finger correlation index is less than the fusion threshold, the new fingerprint template processing is executed.
  29. 根据权利要求28所述的指纹识别方法,其特征在于,若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际出现过融合处理,则计算当前指纹模板与最大手指关联指数对应的所述已有指纹特征模板或者次最大手指关联指数对应的所述已有指纹特征模板之间的手指关联指数,若其大于追加门限,则执行所述追加指纹模板处理。The fingerprint identification method according to claim 28, wherein if the current user’s finger presses the existing fingerprint feature template corresponding to the largest finger association index and the existing fingerprint feature corresponding to the second largest finger association index If the template has actually undergone fusion processing, the finger correlation index between the current fingerprint template and the existing fingerprint feature template corresponding to the largest finger correlation index or the existing fingerprint feature template corresponding to the second largest finger correlation index is calculated. If it is greater than the additional threshold, the additional fingerprint template processing is executed.
  30. 根据权利要求29所述的指纹识别方法,其特征在于,若当前用户的手指按压之后针对最大手指关联指数对应的所述已有指纹特征模板与次最大手指关联指数对应的所述已有指纹特征模板实际未出现过融合处理,则执行所述新增指纹模板处理。The fingerprint identification method according to claim 29, wherein if the current user’s finger presses the existing fingerprint feature template corresponding to the largest finger association index and the existing fingerprint feature corresponding to the second largest finger association index If the template has not actually undergone fusion processing, then the new fingerprint template processing is executed.
  31. 根据权利要求21所述的指纹识别方法,其特征在于,若所述匹配结果表明指纹原始数据和所述已有指纹模板对应于所述当前用户的同一手指,所述处理单元进一步用于为所述指纹原始数据对应的当前指纹模板以及所述已有指纹模板分配相同的标识,并将所述当前指纹模板存储到所述存储单元上。The fingerprint identification method according to claim 21, wherein if the matching result indicates that the original fingerprint data and the existing fingerprint template correspond to the same finger of the current user, the processing unit is further configured to The current fingerprint template corresponding to the original fingerprint data and the existing fingerprint template are assigned the same identifier, and the current fingerprint template is stored on the storage unit.
  32. 根据权利要求31所述的指纹识别方法,其特征在于,若所述匹配结果表明与所述指纹原始数据对应于所述当前用户的同一手指的所述已有指纹模板张数为一张,为所述当前指纹模板以及所述已有指纹模板分配相同的标识,包括:将所述当前指纹模板追加到所述已有指纹模板的标识下面,以为所述当前指纹模板以及所述已有指纹模板分配相同的标识。The fingerprint identification method according to claim 31, wherein if the matching result indicates that the number of the existing fingerprint template corresponding to the same finger of the current user as the original fingerprint data is one, Assigning the same identification to the current fingerprint template and the existing fingerprint template includes: appending the current fingerprint template to the identification of the existing fingerprint template to identify the current fingerprint template and the existing fingerprint template Assign the same ID.
  33. 根据权利要求31所述的指纹识别方法,其特征在于,若所述匹配结果表明与所述指纹原始数据对应于所述当前用户的同一手指的所述已有指纹模板张数为多张,则为所述当前指纹模板以及所述已有指纹模板分配相同的标识,包括:对多张所述已有指纹模板的标识进行融合处理,以为所述当前指纹模板以及多张所述已有指纹模板分配相同的标识。The fingerprint identification method according to claim 31, wherein if the matching result indicates that the number of existing fingerprint templates corresponding to the same finger of the current user as the original fingerprint data is multiple, then Assigning the same identification to the current fingerprint template and the existing fingerprint template includes: fusing the identifications of multiple existing fingerprint templates to obtain the current fingerprint template and multiple existing fingerprint templates Assign the same ID.
  34. 根据权利要求21所述的指纹识别方法,其特征在于,若所述匹配结果表明所述指纹原始数据和所述已有指纹模板对应于所述当前用户的不同手指,则所述处理单元进一步用于为所述指纹原始数据对应的当前指纹模板分配标识,为所述当前指纹模板分配的标识不同于所述已有指纹模板的标识,并将所述当前指纹模板存储到所述存储单元上。The fingerprint identification method according to claim 21, wherein if the matching result indicates that the original fingerprint data and the existing fingerprint template correspond to different fingers of the current user, the processing unit further uses To assign an identifier to the current fingerprint template corresponding to the original fingerprint data, the identifier assigned to the current fingerprint template is different from the identifier of the existing fingerprint template, and the current fingerprint template is stored on the storage unit.
  35. 根据权利要求19所述的指纹识别方法,其特征在于,还包括:若所述指纹原始数据与所述存储单元中的已有指纹模板均不匹配,则根据所述指纹原始数据生成新的指纹模板存入所述存储单元中。The fingerprint identification method according to claim 19, further comprising: if the original fingerprint data does not match an existing fingerprint template in the storage unit, generating a new fingerprint based on the original fingerprint data The template is stored in the storage unit.
  36. 根据权利要求21-35任一项所述的指纹识别方法,还包括:在存储的指纹模板为空时,将首次采集到的指纹原始数据作为初始指纹模板存入所述存储单元。The fingerprint identification method according to any one of claims 21-35, further comprising: when the stored fingerprint template is empty, storing the original fingerprint data collected for the first time as the initial fingerprint template in the storage unit.
  37. 根据权利要求21-36任一项所述的指纹识别方法,其特征在于,所述指纹原始数据为单次按压所述指纹采集区获得的指纹原始数据。The fingerprint identification method according to any one of claims 21-36, wherein the original fingerprint data is the original fingerprint data obtained by pressing the fingerprint collection area for a single time.
  38. 根据权利要求21-37任一项所述的指纹识别方法,其特征在于,所述指纹原始数据为非注册模式下获得的指纹原始数据。The fingerprint identification method according to any one of claims 21-37, wherein the original fingerprint data is the original fingerprint data obtained in the non-registered mode.
  39. 根据权利要求21-38任一项所述的指纹识别方法,其特征在于,还包括:根据所述存储单元中的已有指纹模板对所述指纹原始数据进行识别。The fingerprint identification method according to any one of claims 21-38, further comprising: identifying the original fingerprint data according to an existing fingerprint template in the storage unit.
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