WO2020232636A1 - Appareil de reconnaissance d'empreinte digitale, procédé de reconnaissance d'empreinte digitale et dispositif électronique - Google Patents

Appareil de reconnaissance d'empreinte digitale, procédé de reconnaissance d'empreinte digitale et dispositif électronique Download PDF

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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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English (en)
Chinese (zh)
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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 PCT/CN2019/087826 priority Critical patent/WO2020232636A1/fr
Priority to CN201980000779.8A priority patent/CN112262392A/zh
Publication of WO2020232636A1 publication Critical patent/WO2020232636A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern 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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  • Collating Specific Patterns (AREA)

Abstract

La présente invention concerne un appareil de reconnaissance d'empreinte digitale, un procédé de reconnaissance d'empreinte digitale et un dispositif électronique. L'appareil de reconnaissance d'empreinte digitale comprend : une unité de stockage, l'unité de stockage étant utilisée pour stocker un modèle d'empreinte digitale ; un capteur d'empreinte digitale, le capteur d'empreinte digitale étant pourvu d'une zone d'acquisition d'empreinte digitale et utilisé pour, lorsqu'un doigt de l'utilisateur actuel est pressé sur la zone d'acquisition d'empreinte digitale, obtenir des données brutes d'empreinte digitale du doigt ; et une unité de traitement, l'unité de traitement étant utilisée pour effectuer une gestion de stockage de modèle d'empreinte digitale en fonction d'un résultat de mise en correspondance des données brutes d'empreinte digitale et du modèle d'empreinte digitale existant dans l'unité de stockage. L'appareil de reconnaissance d'empreinte digitale peut mettre en œuvre une reconnaissance non inductive d'empreinte digitale, et aucune étape d'enregistrement spéciale n'a besoin d'être réglée pour guider un utilisateur afin d'enregistrer un modèle d'empreinte digitale pour une reconnaissance d'empreinte digitale et un enregistrement de modèle d'empreinte digitale.
PCT/CN2019/087826 2019-05-21 2019-05-21 Appareil de reconnaissance d'empreinte digitale, procédé de reconnaissance d'empreinte digitale et dispositif électronique WO2020232636A1 (fr)

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CN201980000779.8A CN112262392A (zh) 2019-05-21 2019-05-21 指纹识别装置、指纹识别方法及电子设备

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CN106021606A (zh) * 2016-06-21 2016-10-12 广东欧珀移动通信有限公司 一种指纹模板更新方法及终端设备
CN106062778A (zh) * 2016-04-01 2016-10-26 深圳市汇顶科技股份有限公司 指纹识别方法、装置和终端
EP3188074A1 (fr) * 2015-01-23 2017-07-05 Shenzhen Huiding Technology Co., Ltd. Procédé de mise à jour dynamique d'informations d'empreinte digitale et appareil de reconnaissance d'empreinte digitale

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EP3188074A1 (fr) * 2015-01-23 2017-07-05 Shenzhen Huiding Technology Co., Ltd. Procédé de mise à jour dynamique d'informations d'empreinte digitale et appareil de reconnaissance d'empreinte digitale
CN106062778A (zh) * 2016-04-01 2016-10-26 深圳市汇顶科技股份有限公司 指纹识别方法、装置和终端
CN106021606A (zh) * 2016-06-21 2016-10-12 广东欧珀移动通信有限公司 一种指纹模板更新方法及终端设备

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