WO2017008350A1 - 指纹存储方法及装置、指纹识别方法及装置 - Google Patents
指纹存储方法及装置、指纹识别方法及装置 Download PDFInfo
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- WO2017008350A1 WO2017008350A1 PCT/CN2015/085840 CN2015085840W WO2017008350A1 WO 2017008350 A1 WO2017008350 A1 WO 2017008350A1 CN 2015085840 W CN2015085840 W CN 2015085840W WO 2017008350 A1 WO2017008350 A1 WO 2017008350A1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
Definitions
- the present application relates to the field of image processing technologies, and more particularly, to a fingerprint storage method and apparatus, a fingerprint identification method and apparatus.
- a fingerprint template of a user's fingerprint is stored in the mobile phone for authenticating certain operations of the user. For example, when the mobile phone enters the locked state from the locked state, the user needs to input the fingerprint information, and if the fingerprint information matches the pre-stored fingerprint template, the mobile phone can be successfully turned on. It can be understood that in order to complete the authentication process, a fingerprint template needs to be stored in advance.
- the fingerprint template stored by the mobile phone is to collect a fingerprint image of a certain finger of the user, and generate a fingerprint template according to the fingerprint image.
- the fingerprint template generated by the method is less secure, that is, after the fingerprint template is stolen by a malicious program, it can be used to crack other programs encrypted by using the fingerprint template, thereby causing leakage of user privacy data.
- the present application provides a fingerprint storage method for generating a more secure fingerprint template.
- the present application further provides a fingerprint identification method for identifying a fingerprint to be recognized input by a user according to the stored fingerprint template.
- the present application also provides a fingerprint storage device and a fingerprint identification device for respectively ensuring the application and implementation of the above method in practice.
- a fingerprint storage method is applied to an electronic device provided with a fingerprint collection module, the method include:
- Each of the target fingerprint features is stored; wherein the plurality of target fingerprint features are used to represent a fingerprint template.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point, the direction field, and the detail feature are extracted from different fingerprint images;
- the fingerprint storage method further includes:
- the acquiring the plurality of fingerprint images collected by the fingerprint collection module includes:
- Extracting the target fingerprint feature in each of the fingerprint images according to the preset extraction rule including:
- the target reference point, the target direction field, and the target detail feature are respectively extracted from the three fingerprint images.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point and the direction field are extracted from the same fingerprint image, reference points and detail features. Extracted from another fingerprint image;
- the fingerprint storage method further includes:
- the acquiring the plurality of fingerprint images collected by the fingerprint collection module includes:
- Extracting the target fingerprint feature in each of the fingerprint images according to the preset extraction rule including:
- the target reference point and the target direction field are extracted in one of the two fingerprint images, and the target reference point and the target detail feature are extracted in the other fingerprint image.
- the fingerprint image has a finger identifier, and the finger identifier is used to represent a finger corresponding to the fingerprint image;
- the fingerprint storage method further includes:
- a correspondence between each of the target fingerprint features and a finger identifier of the respective fingerprint image is generated and stored.
- the present application also provides a fingerprint identification method, which is applied to an electronic device provided with a fingerprint collection module, and the method includes:
- the plurality of fingerprint features are fingerprint features for combining into one fingerprint template;
- the present application also provides a fingerprint storage device, which is applied to an electronic device provided with a fingerprint collection module, and the device includes:
- a fingerprint image acquiring module configured to acquire a plurality of fingerprint images collected by the fingerprint collection module; wherein the fingerprint image is a fingerprint image of different fingers;
- a target fingerprint feature extraction module configured to extract a target fingerprint feature in each of the fingerprint images according to a preset extraction rule; wherein the preset extraction rule is used to represent each of the different Which fingerprint features are extracted from the fingerprint image, and the plurality of fingerprint features are fingerprint features for combining into one fingerprint template;
- the target fingerprint feature storage module is configured to store each of the target fingerprint features; wherein the plurality of target fingerprint features are used to represent a fingerprint template.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point, the direction field, and the detail feature are extracted from different fingerprint images;
- the fingerprint storage device further includes:
- a first fingerprint image input module configured to display prompt information for prompting a user to input a fingerprint image of three fingers according to the preset extraction rule
- the fingerprint image obtaining module includes:
- a first fingerprint image acquisition sub-module configured to acquire three fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module;
- the target fingerprint feature extraction module includes:
- the first target fingerprint feature extraction sub-module is configured to extract a target reference point, a target direction field, and a target detail feature in the three fingerprint images according to a preset extraction rule.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point and the direction field are extracted from the same fingerprint image, reference points and detail features. Extracted from another fingerprint image;
- the fingerprint storage device further includes:
- a second fingerprint image input module configured to display, according to the preset extraction rule, prompt information prompting a user to input a fingerprint image of two fingers;
- the fingerprint image obtaining module includes:
- a second fingerprint image acquisition sub-module configured to acquire two fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module
- the target fingerprint feature extraction module includes:
- a second target fingerprint feature extraction sub-module configured to extract a target reference point and a target direction field in one of the two fingerprint images according to a preset extraction rule, and extract a target reference point in another fingerprint image and Target detail feature.
- the fingerprint image has a finger identifier, and the finger identifier is used to represent a finger corresponding to the fingerprint image;
- the fingerprint storage device further includes:
- the finger identifier storage module is configured to generate and store a correspondence between each of the target fingerprint features and a finger identifier of the respective fingerprint image.
- the present application also provides a fingerprint identification device, which is applied to an electronic device provided with a fingerprint collection module, and the device includes:
- the to-be-identified fingerprint image acquisition module is configured to acquire a plurality of fingerprint images to be recognized collected by the fingerprint collection module; wherein the fingerprint image to be recognized is a fingerprint image of different fingers;
- the to-be-identified fingerprint feature extraction module is configured to extract, in each of the to-be-identified fingerprint images, a fingerprint feature to be identified according to a preset extraction rule, where the preset extraction rule is used to represent each fingerprint to be recognized in different Which fingerprint features are extracted from the image, and the plurality of fingerprint features are fingerprint features for combining into one fingerprint template;
- the fingerprint feature matching module is configured to match each of the to-be-identified fingerprint features with a pre-stored target fingerprint feature
- a first recognition result module configured to prompt that the identification is successful if each of the fingerprint features to be identified is successfully matched
- the second recognition result module is configured to prompt the recognition failure if a certain fingerprint feature to be identified does not match successfully.
- the present application provides a fingerprint storage method applied to an electronic device, and the electronic device is provided with a fingerprint collection module.
- the fingerprint collection module may collect fingerprint images of multiple different fingers.
- the fingerprint extraction feature is extracted from the plurality of fingerprint images, and the plurality of fingerprint features are stored.
- the fingerprint features can be combined into one fingerprint template.
- the present application does not store a fingerprint template of a real finger, but extracts a part of the fingerprint feature in a plurality of different real finger fingerprint images, and represents a virtual one with the extracted multiple fingerprint features.
- Fingerprint template If a malicious program steals the virtual fingerprint template and uses the virtual fingerprint template to crack other encryption programs, it cannot be successfully cracked. Therefore, the virtual fingerprint template is more secure.
- Embodiment 1 is a flowchart of Embodiment 1 of a fingerprint storage method provided by the present application;
- FIGS. 2A and 2B are schematic diagrams of a fingerprint pattern provided by the present application.
- 3A is a schematic diagram of another fingerprint pattern provided by the present application.
- FIG. 3B is a schematic diagram of a direction field of the fingerprint pattern of FIG. 3A provided by the present application.
- Embodiment 4 is a flowchart of Embodiment 2 of a fingerprint storage method provided by the present application.
- FIG. 5 is a flowchart of Embodiment 3 of a fingerprint storage method provided by the present application.
- FIG. 6 is a flowchart of an embodiment of a fingerprint identification method provided by the present application.
- FIG. 7 is a schematic structural diagram of Embodiment 1 of a fingerprint storage device provided by the present application.
- FIG. 8 is a schematic structural diagram of an embodiment of a fingerprint identification apparatus provided by the present application.
- Embodiment 1 of a fingerprint storage method is shown.
- the fingerprint storage method embodiment is applied to an electronic device, which may be a mobile phone, a tablet computer, a palmtop computer, a portable computer, or the like. It should be noted that the electronic device is provided with a fingerprint collection module for collecting fingerprint images of the user.
- the fingerprint storage method embodiment 1 may include steps S101 to S103.
- Step S101 Acquire a plurality of fingerprint images collected by the fingerprint collection module; wherein the fingerprint images are fingerprint images of different fingers.
- the fingerprint image is input on the fingerprint collection template of the electronic device. It should be noted that the input fingerprint image is multiple and is a fingerprint image of different fingers. When the user inputs the plurality of fingerprint images, the input may be performed sequentially or simultaneously.
- Step S102 Extract a target fingerprint feature in each of the fingerprint images according to a preset extraction rule, where the preset extraction rule is used to indicate which fingerprint feature is extracted in each of the different fingerprint images, and multiple The fingerprint feature is a fingerprint feature for combining into one fingerprint template.
- the inventive idea of the present application is to integrate fingerprint images of a plurality of different fingers into one virtual fingerprint image, and the virtual fingerprint image is represented by a fingerprint template.
- the fingerprint template includes a plurality of fingerprint features, and the plurality of fingerprint features are from the plurality of fingerprint images.
- the fingerprint template is described by taking a face image as an example. Assuming that there are multiple real face images, the multiple face images should be integrated into one virtual face image. If the face image includes five facial features, the ears and eyebrows can be extracted from the real face image. , eyes, nose, mouth, and integrate them to get a virtual face image.
- the facial features are the various fingerprint features in this application, but there are still differences between the two.
- an integration step is required, that is, the positional relationship between the five senses needs to be determined.
- fingerprint features there is no relationship between fingerprint features and no integration is required.
- This application only needs to store individual fingerprint features.
- the preset extraction rule can embody the above inventive idea. Specifically, the preset extraction rule indicates that a plurality of fingerprint images are required, and indicates which fingerprint features are extracted in the fingerprint image. It should be noted that multiple fingerprint features may be extracted in a certain fingerprint image, or a certain fingerprint feature may be from multiple fingerprint images, but all fingerprint features cannot be from the same fingerprint image.
- the fingerprint template includes three fingerprint features, the first fingerprint feature is extracted from the fingerprint image of the index finger, the second fingerprint feature is extracted from the fingerprint image of the middle finger, and the third fingerprint feature is extracted from the fingerprint feature of the thumb.
- the fingerprint feature extracted from the fingerprint image is referred to as a target fingerprint feature.
- Step S103 storing each of the target fingerprint features; wherein, the plurality of target fingerprints are The levy is used to represent a fingerprint template.
- storing the target fingerprint feature indicates that the fingerprint template of the virtual fingerprint image is stored, that is, the fingerprint template is represented by each target fingerprint feature.
- the embodiment of the fingerprint storage method provided by the present application is applied to an electronic device, and the electronic device is provided with a fingerprint collection module.
- the fingerprint collection module may collect fingerprint images of a plurality of different fingers.
- fingerprint features are extracted from the plurality of fingerprint images according to a preset extraction rule, and the plurality of fingerprint features are stored. Multiple fingerprint features can be combined into one fingerprint template.
- the embodiment does not store the fingerprint template of the real finger, but extracts a part of the fingerprint feature in the fingerprint images of the plurality of different real fingers, and represents a virtual image by using the extracted multiple fingerprint features.
- the fingerprint template, the virtual fingerprint template is more secure.
- the security of the virtual fingerprint template is higher, which means that the virtual fingerprint template is less likely to cause leakage of user privacy data.
- the fingerprint template can be used to decrypt some encryption programs of the user, and the encryption program uses the fingerprint template of the finger. After decryption, the user's private data can be stolen.
- the virtual fingerprint template is stored in this embodiment. After the malicious program is stolen, the decryption cannot be successful, thereby ensuring the security of the user's private data.
- the fingerprint template may include three fingerprint features: a reference point, a direction field, and a detail feature. Therefore, the preset extraction rule indicates that the extracted fingerprint features are reference points, direction fields, and detail features, and are preset. The extraction rule indicates that the three fingerprint features are respectively extracted from different fingerprint images.
- the reference point is located at the progressive center of the fingerprint line, usually a triangle point or a core point. See the schematic diagram of the fingerprint pattern shown in FIGS. 2A and 2B.
- the position selected by the box is a reference point, which is a triangular point.
- the position selected by the box is another reference point, which is the core point.
- one fingerprint includes 1 to 3 reference points.
- the direction field is the global feature of the fingerprint texture, indicating the direction of each point of the fingerprint texture. distributed. For a particular point, the direction can be the tangential direction of the ridge or valley line at that point. See the schematic diagram of the fingerprint pattern shown in FIG. 3A, and the schematic diagram of the direction field of the fingerprint pattern of FIG. 3A shown in FIG. 3B.
- the detail feature is a local feature of the fingerprint texture, which may include a turning point of the fingerprint texture, a bifurcation point, an isolated point, an end point, a break point, a ring point or a short line.
- a turning point of the fingerprint texture may include a turning point of the fingerprint texture, a bifurcation point, an isolated point, an end point, a break point, a ring point or a short line.
- the present application provides another embodiment of a fingerprint storage method. Specifically, referring to FIG. 4, a flow of Embodiment 2 of the fingerprint storage method is shown. As shown in FIG. 4, the fingerprint storage method embodiment 2 may include steps S201 to S204.
- Step S201 Display prompt information for prompting the user to input fingerprint images of three fingers according to the preset extraction rule.
- the preset extraction rule requires that the three fingerprint features are extracted from different fingerprint images. Therefore, the prompt information is generated, and the user is prompted to input the fingerprint image of the three fingers.
- a prompt message is displayed.
- the prompt information may be displayed in sequence.
- please input the fingerprint image of the middle finger please input the fingerprint image of the index finger, and input the fingerprint image of the thumb.
- this is merely an example, and the embodiment is not limited thereto.
- Step S202 Acquire three fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module.
- the fingerprint collection module can collect the fingerprint image
- the execution module of the embodiment can obtain the multiple fingerprint images.
- Step S203 Extract the target reference point, the target direction field, and the target detail feature in the three fingerprint images according to the preset extraction rule.
- the preset extraction rule may indicate which fingerprint image the reference point, the direction field, and the detail feature are respectively extracted from.
- the reference point is extracted from the fingerprint image of the index finger
- the direction field is extracted from the fingerprint image of the middle finger
- the detail feature is extracted from the thumb fingerprint image.
- this is merely an example, and the application is not limited thereto.
- the extracted reference point, direction field and detail feature are respectively the target reference point, the direction field and the detail feature.
- Step S204 Store each of the target fingerprint features; wherein, the plurality of target fingerprint features are used to represent a fingerprint template.
- the extracted target fingerprint feature may represent a virtual fingerprint template.
- the present embodiment uses three fingers to form a virtual fingerprint target, that is, extracts a reference point, a direction field, and a detail feature from the fingerprint images of the three fingers, respectively, and uses the extracted fingerprint feature to represent A fingerprint template.
- the three fingerprint features may also be from fingerprint images of two fingers. Specifically, the reference point and the direction field are extracted from the same fingerprint image, and the reference point and the detail feature are extracted from another fingerprint image.
- the preset extraction rule stipulates that the reference point should be extracted from both fingerprint images, but whether it can be extracted and extracted several depends on the actual situation of the fingerprint image.
- the number of reference points is not fixed, which is determined by the actual situation of the user's fingerprint.
- the face image if the face image includes not only facial features, but also spots.
- the present application provides another embodiment of a fingerprint storage method.
- FIG. 5 it shows the flow of Embodiment 3 of the fingerprint storage method.
- the third embodiment of the fingerprint storage method may specifically include steps S301 to S304.
- Step S301 Display prompt information for prompting the user to input fingerprint images of two fingers according to the preset extraction rule.
- the prompt information for prompting the user to input the fingerprint image of the two fingers is generated.
- Step S302 Acquire two fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module.
- Step S303 Extract a target reference point and a target direction field in one of the two fingerprint images according to a preset extraction rule, and extract a target reference point and a target detail feature in another fingerprint image.
- the direction field and the detail feature are respectively extracted in the two fingerprint images, but in the two fingerprints
- the reference points are extracted from the image.
- a reference point and a directional field are extracted from the thumb, and reference points and detail features are extracted from the index finger.
- the reference point extracted from the fingerprint image is referred to as a target reference point
- the direction field extracted from the fingerprint image is referred to as a target direction field
- the detailed feature extracted from the fingerprint image is referred to as a target detail. feature.
- Step S304 Store each of the target fingerprint features; wherein the plurality of target fingerprint features are used to represent a fingerprint template.
- the present embodiment uses two fingers to form a virtual fingerprint template, that is, the direction field and the detail feature are respectively from the fingerprint images of different fingers, the reference point is from the fingerprint image of the two fingers, and the extracted fingerprint is used.
- Features to represent a fingerprint template that is, the direction field and the detail feature are respectively from the fingerprint images of different fingers, the reference point is from the fingerprint image of the two fingers, and the extracted fingerprint is used.
- the fingerprint collection module may generate a finger identifier when collecting the fingerprint image, and the finger identifier is used to indicate which finger the fingerprint image comes from. For example, when the fingerprint collection module collects the fingerprint image of the middle finger, the finger identifier corresponding to the fingerprint image is generated, that is, the “middle finger”.
- the specific form of the finger identification is merely an example, and the application is not limited thereto.
- any one of the foregoing fingerprint storage method embodiments may further include the following step A1.
- Step A1 Generate a correspondence between each of the target fingerprint features and the finger identifiers of the respective fingerprint images and store them.
- the fingerprint image has a respective finger identifier
- the fingerprint feature extracted from the fingerprint image may also have a finger identifier.
- the finger identifier of the fingerprint feature that is, the finger identifier of the fingerprint image from which the fingerprint feature is derived.
- each fingerprint feature has its own finger identification. For example, if the reference point is extracted from the fingerprint image of the thumb, the finger of the reference point is identified as “thumb”; the direction field is extracted from the fingerprint image of the index finger, and the finger of the reference point is identified as “index finger”; the feature feature is extracted from the fingerprint image of the middle finger , the finger of the reference point is identified as "middle finger”.
- the setting of the above step A1 can conveniently utilize the stored fingerprint features to identify the fingerprint, as described below.
- the stored fingerprint feature can be used to identify the fingerprint to be recognized input by the user.
- the present application provides an embodiment of a fingerprint identification method. As shown in FIG. 6 , the fingerprint identification method embodiment may include steps S401 to S405.
- Step S401 Acquire a plurality of fingerprint images to be recognized collected by the fingerprint collection module; wherein the fingerprint images to be identified are fingerprint images of different fingers.
- the user needs to input a fingerprint on the fingerprint collection module when the user needs to open the fingerprint recognition application in the electronic device, and the fingerprint collection module can collect the fingerprint image of the fingerprint.
- the collected fingerprint image is referred to as a fingerprint image to be recognized.
- Step S402 Extract the fingerprint feature to be identified in each of the to-be-identified fingerprint images according to a preset extraction rule, where the preset extraction rule is used to indicate which fingerprint is extracted in each different fingerprint image to be identified.
- Features, and the plurality of fingerprint features are fingerprint features for combining into one fingerprint template.
- Step S403 Match each of the to-be-identified fingerprint features with a pre-stored target fingerprint feature.
- the target fingerprint feature stored in advance may be a target fingerprint feature stored according to any of the above fingerprint storage method embodiments.
- the specific implementation manner of this step may be that each fingerprint feature to be identified is matched with each target fingerprint feature, but the execution efficiency of this method is low. Therefore, according to the type of the fingerprint feature to be identified, it can be matched with the target fingerprint feature of the corresponding type to improve the matching efficiency.
- the fingerprint feature includes a reference point, a direction field, and a detail feature
- the reference point to be identified is matched with the target reference point
- the direction field to be identified is matched with the target direction field
- the detail feature to be identified is matched with the target detail feature
- each target fingerprint feature has a finger identifier, and therefore, the same type of fingerprint feature and target to be identified may be identified by using the finger identifier. Fingerprint features are matched.
- the fingerprint feature to be identified also has a finger identifier.
- the setting method of the finger identifier can refer to the setting method of the target fingerprint feature finger identifier, which is not described here.
- Step S404 If each of the fingerprint features to be identified is successfully matched, the prompt recognition is successful.
- Step S405 If a certain fingerprint feature to be identified does not match successfully, the prompt recognition fails.
- the specific matching process may be that the fingerprint features to be identified are matched with the target fingerprint features in sequence, and if the fingerprint features to be identified are not successfully matched, the recognition fails.
- the matching process may be: matching each fingerprint feature to be identified with the target fingerprint feature, and if there is a fingerprint feature to be identified that is not successfully matched in the matching result, the recognition fails.
- the following describes the fingerprint storage device and the fingerprint identification device provided by the present application. It should be noted that the descriptions of the fingerprint storage device and the fingerprint identification device can refer to the fingerprint storage method and the fingerprint identification method provided above, and are not described below.
- the fingerprint storage device embodiment 1 is applied to an electronic device provided with a fingerprint collection module.
- the fingerprint storage device embodiment 1 may include: a fingerprint image acquisition module 701, a target fingerprint feature extraction module 702, and a target fingerprint.
- Feature storage module 703 wherein:
- the fingerprint image obtaining module 701 is configured to acquire a plurality of fingerprint images collected by the fingerprint collection module, where the fingerprint image is a fingerprint image of different fingers;
- the target fingerprint feature extraction module 702 is configured to extract a target fingerprint feature in each of the fingerprint images according to a preset extraction rule, where the preset extraction rule is used to indicate which one is extracted in each fingerprint image.
- Fingerprint features, and the plurality of fingerprint features are fingerprint features for combining into one fingerprint template;
- the target fingerprint feature storage module 703 is configured to store each of the target fingerprint features.
- the plurality of the target fingerprint features are used to represent a fingerprint template.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point, the direction field, and the detail feature are extracted from different fingerprint images;
- the fingerprint storage device further includes:
- a first fingerprint image input module configured to display prompt information for prompting a user to input a fingerprint image of three fingers according to the preset extraction rule
- the fingerprint image obtaining module includes:
- a first fingerprint image acquisition sub-module configured to acquire three fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module;
- the target fingerprint feature extraction module includes:
- the first target fingerprint feature extraction sub-module is configured to extract a target reference point, a target direction field, and a target detail feature in the three fingerprint images according to a preset extraction rule.
- the preset extraction rule indicates that the extracted fingerprint features include: a reference point, a direction field, and a detail feature, and the reference point and the direction field are extracted from the same fingerprint image, and the reference point and the detail feature are extracted from another fingerprint image;
- the fingerprint storage device further includes:
- a second fingerprint image input module configured to display, according to the preset extraction rule, prompt information prompting a user to input a fingerprint image of two fingers;
- the fingerprint image obtaining module includes:
- a second fingerprint image acquisition sub-module configured to acquire two fingerprint images collected by the fingerprint collection module in response to an operation of the user inputting a fingerprint image in the fingerprint collection module
- the target fingerprint feature extraction module includes:
- a second target fingerprint feature extraction sub-module configured to extract a target reference point and a target direction field in one of the two fingerprint images according to a preset extraction rule, and extract a target reference point in another fingerprint image and Target detail feature.
- the fingerprint image has a finger identifier, and the finger identifier is used to represent a finger corresponding to the fingerprint image;
- the fingerprint storage device further includes:
- the finger identifier storage module is configured to generate and store a correspondence between each of the target fingerprint features and a finger identifier of the respective fingerprint image.
- the present application also provides an embodiment of a fingerprint identification device, which is applied to an electronic device provided with a fingerprint collection module.
- the fingerprint identification device embodiment may include: a fingerprint image acquisition module 801 to be identified, a fingerprint feature extraction module 802 to be identified, a fingerprint feature matching module 803 to be identified, a first recognition result module 804, and a second recognition result.
- Module 805 wherein:
- the to-be-identified fingerprint image acquisition module 801 is configured to acquire a plurality of fingerprint images to be recognized collected by the fingerprint collection module, where the fingerprint image to be recognized is a fingerprint image of different fingers;
- the to-be-identified fingerprint feature extraction module 802 is configured to extract the to-be-identified fingerprint feature in each of the to-be-identified fingerprint images according to a preset extraction rule, where the preset extraction rule is used to represent each of the different to-be-identified Which fingerprint features are extracted from the fingerprint image, and the plurality of fingerprint features are fingerprint features for combining into one fingerprint template;
- the to-be-identified fingerprint feature matching module 803 is configured to match each of the to-be-identified fingerprint features with a pre-stored target fingerprint feature;
- the first recognition result module 804 is configured to prompt that the identification is successful if each of the fingerprint features to be identified is successfully matched;
- the second identification result module 805 is configured to prompt the recognition failure if a certain fingerprint feature to be identified does not match successfully.
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Abstract
一种指纹存储方法、指纹识别方法、指纹存储装置及指纹识别装置，应用在电子设备上，电子设备上设置有指纹采集模块。在需要存储指纹模板时，指纹采集模块可以采集到多个不同手指的指纹图像(S101)，按照预设提取规则，在该多个指纹图像中提取指纹特征(S102)，并存储该多个指纹特征(S103)，该多个指纹特征可组合为一个指纹模板。该方法并未存储真实手指的指纹模板，而是在多个不同的真实手指的指纹图像中，分别提取一部分指纹特征，用提取到的多个指纹特征表示一个虚拟的指纹模板，该虚拟的指纹模板的安全性更高。
Description
本申请要求于2015年07月16日提交中国专利局，申请号为201510420620.5、发明名称为“指纹存储方法及装置、指纹识别方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
本申请涉及图像处理技术领域，更具体地，是指纹存储方法及装置、指纹识别方法及装置。
通常地，手机中会存储用户指纹的指纹模板，用于对用户的某些操作进行身份认证。例如，手机由锁定状态进入开启状态时，需要用户输入指纹信息，若指纹信息与预存的指纹模板匹配，才能成功开启手机。可以理解的是，为了完成所述认证过程，需要预先存储指纹模板。
目前，手机存储的指纹模板的方式，是采集用户某个手指的指纹图像，根据该指纹图像生成指纹模板。然而，该种方式生成的指纹模板安全性较低，即该指纹模板被恶意程序窃取后，可以用来破解使用该指纹模板加密的其他程序，从而导致用户隐私数据的泄露。
发明内容
有鉴于此，本申请提供了一种指纹存储方法，用以生成一种更加安全的指纹模板。相对应地，本申请还提供了一种指纹识别方法，以根据存储的指纹模板对用户输入的待识别指纹进行识别。
另外，本申请还提供了一种指纹存储装置及指纹识别装置，用以分别保证上述方法在实际中的应用及实现。
为实现所述目的，本申请提供的技术方案如下：
一种指纹存储方法，应用于设置有指纹采集模块的电子设备，该方法
包括：
获取所述指纹采集模块采集到的多个指纹图像；其中，所述指纹图像为不同手指的指纹图像；
按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
可选地，上述的指纹存储方法中，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点、方向场及细节特征提取自不同的指纹图像；
相应地，所述指纹存储方法还包括：
依据所述预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息；
所述获取所述指纹采集模块采集到的多个指纹图像，包括：
响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像；
所述按照预设提取规则，在每个所述指纹图像中提取目标指纹特征，包括：
按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
可选地，上述的指纹存储方法中，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像；
相应地，所述指纹存储方法还包括：
依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提示信息；
所述获取所述指纹采集模块采集到的多个指纹图像，包括：
响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指
纹采集模块采集到的两个指纹图像；
所述按照预设提取规则，在每个所述指纹图像中提取目标指纹特征，包括：
按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
可选地，上述的指纹存储方法中，指纹图像具有手指标识，手指标识用于表示指纹图像对应的手指；
相应地，所述指纹存储方法还包括：
生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
本申请还提供了一种指纹识别方法，应用于设置有指纹采集模块的电子设备，该方法包括：
获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像；
按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配；
若各个所述待识别指纹特征均匹配成功，提示识别成功；
若某个所述待识别指纹特征并未匹配成功，提示识别失败。
本申请还提供了一种指纹存储装置，应用于设置有指纹采集模块的电子设备，该装置包括：
指纹图像获取模块，用于获取所述指纹采集模块采集到的多个指纹图像；其中，所述指纹图像为不同手指的指纹图像；
目标指纹特征提取模块，用于按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个
指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
目标指纹特征存储模块，用于存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
可选地，上述的指纹存储装置中，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点、方向场及细节特征提取自不同的指纹图像；
相应地，所述指纹存储装置还包括：
第一指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息；
所述指纹图像获取模块包括：
第一指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像；
所述目标指纹特征提取模块包括：
第一目标指纹特征提取子模块，用于按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
可选地，上述的指纹存储装置中，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像；
相应地，所述指纹存储装置还包括：
第二指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提示信息；
所述指纹图像获取模块包括：
第二指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的两个指纹图像；
所述目标指纹特征提取模块包括：
第二目标指纹特征提取子模块，用于按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
可选地，上述的指纹存储装置中，指纹图像具有手指标识，手指标识用于表示指纹图像对应的手指；
相应地，所述指纹存储装置还包括：
手指标识存储模块，用于生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
本申请还提供了一种指纹识别装置，应用于设置有指纹采集模块的电子设备，该装置包括：
待识别指纹图像获取模块，用于获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像；
待识别指纹特征提取模块，用于按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
待识别指纹特征匹配模块，用于将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配；
第一识别结果模块，用于若各个所述待识别指纹特征均匹配成功，提示识别成功；
第二识别结果模块，用于若某个所述待识别指纹特征并未匹配成功，提示识别失败。
由以上可知，本申请提供了指纹存储方法应用在电子设备上，电子设备上设置有指纹采集模块。在需要存储指纹模板时，指纹采集模块可以采集到多个不同手指的指纹图像，本申请按照预设提取规则，在该多个指纹图像中提取指纹特征，并存储该多个指纹特征，该多个指纹特征可组合为一个指纹模板。与现有技术相比，本申请并未存储真实手指的指纹模板，而是在多个不同的真实手指的指纹图像中，分别提取一部分指纹特征，用提取到的多个指纹特征表示一个虚拟的指纹模板。若恶意程序窃取该虚拟的指纹模板，并使用该虚拟的指纹模板破解其他加密程序时，并不能成功破解。因此，该虚拟的指纹模板的安全性较高。
当然，实施本申请的任一产品并不一定需要同时达到以上所述的所有
优点。
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。
图1为本申请提供的指纹存储方法实施例1的流程图；
图2A及图2B为本申请提供的一个指纹纹路的示意图；
图3A为本申请提供的另一指纹纹路的示意图；
图3B为本申请提供的图3A指纹纹路的方向场示意图；
图4为本申请提供的指纹存储方法实施例2的流程图；
图5为本申请提供的指纹存储方法实施例3的流程图；
图6为本申请提供的指纹识别方法实施例的流程图；
图7为本申请提供的指纹存储装置实施例1的结构示意图；
图8为本申请提供的指纹识别装置实施例的结构示意图。
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
参见图1，其示出了本申请提供的指纹存储方法实施例1的流程。该指纹存储方法实施例应用在电子设备上，电子设备可以是手机、平板电脑、掌上电脑及便携式计算机等。需要说明的是，电子设备上设置有指纹采集模块，用于采集用户的指纹图像。
如图1所示，该指纹存储方法实施例1可以包括步骤S101～步骤S103。
步骤S101：获取所述指纹采集模块采集到的多个指纹图像；其中，所述指纹图像为不同手指的指纹图像。
其中，用户需要存储指纹图像时，在电子设备的指纹采集模板上输入指纹图像。需要说明的是，输入的指纹图像为多个，且为不同手指的指纹图像。用户在输入该多个指纹图像时，可以是先后输入，也可以是同时输入。
步骤S102：按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征。
其中，本申请的发明思想，是将多个不同手指的指纹图像整合为一个虚拟的指纹图像，该虚拟的指纹图像用指纹模板表示。其中，指纹模板中包括多种指纹特征，该多种指纹特征来自该多个指纹图像。
以人脸图像为例对指纹模板进行说明。假设存在多个真实的人脸图像，要将该多个真实的人脸图像整合为一个虚拟的人脸图像，人脸图像中包括五官，则可以在真实的人脸图像中提取出耳朵、眉毛、眼睛、鼻子、嘴巴，将其整合后便可获得一个虚拟的人脸图像。
在上述示例中，五官即本申请中的各种指纹特征，但两者还是存在不同之处。五官整合为虚拟的人脸图像时，需要整合步骤，即需要确定五官之间的位置关系。但是，指纹特征之间并无关联关系，并不需要整合，本申请只需存储各个指纹特征即可。
预设提取规则可体现上述发明思想。具体地，预设提取规则表示需要多个指纹图像，且表示在指纹图像中提取何种指纹特征。需要说明的是，可以在某个指纹图像中提取多个指纹特征，也可以是某个指纹特征来自多个指纹图像，但所有的指纹特征不能来自同一指纹图像。
例如，指纹模板包括三个指纹特征，第一指纹特征提取自食指的指纹图像，第二指纹特征提取自中指的指纹图像，第三指纹特征提取自拇指的指纹特征。
为了便于描述，将从指纹图像中提取到的指纹特征称为目标指纹特征。
步骤S103：存储各个所述目标指纹特征；其中，多个所述目标指纹特
征用于表示一个指纹模板。
其中，存储目标指纹特征，便表示存储了一个虚拟的指纹图像的指纹模板，也即该指纹模板是由各个目标指纹特征表示的。
由以上的技术方案可知，本申请提供的指纹存储方法实施例，应用在电子设备上，电子设备上设置有指纹采集模块。在需要存储指纹模板时，指纹采集模块可以采集到多个不同手指的指纹图像，本实施例按照预设提取规则，在该多个指纹图像中提取指纹特征，并存储该多个指纹特征，该多个指纹特征可组合为一个指纹模板。与现有技术相比，本实施例并未存储真实手指的指纹模板，而是在多个不同的真实手指的指纹图像中，分别提取一部分指纹特征，用提取到的多个指纹特征表示一个虚拟的指纹模板，该虚拟的指纹模板的安全性更高。
其中，虚拟的指纹模板的安全性更高，指的是该虚拟的指纹模板更不易导致用户隐私数据的泄露。具体来讲，若存储某个手指的指纹模板，恶意程序盗取该指纹模板后，可利用该指纹模板对用户某些加密程序进行解密，该些加密程序使用的便是该手指的指纹模板，解密后，便可窃取用户的隐私数据。但是，本实施例中存储的是虚拟的指纹模板，恶意程序窃取后，解密并不能成功，从而保证用户隐私数据的安全。
在实际应用中，指纹模板可以包括参考点、方向场及细节特征三种指纹特征，因此，预设提取规则表示提取到的指纹特征为参考点、方向场及细节特征三种，并且，预设提取规则表示该三种指纹特征分别提取自不同的指纹图像。
需要说明的是，参考点、方向场及细节特征是现有的指纹特征，为了便于理解，对其进行简要说明。
参考点，位于指纹纹路的渐进中心，一般为三角点或核心点。参见图2A及图2B所示的指纹纹路的示意图。在图2A中，方框选中的位置处为一参考点，该参考点为三角点。在图2B中，方框选中的位置处为另一参考点，该参考点为核心点。一般来说，一枚指纹中包括1至3个参考点。
方向场，是指纹纹路的全局特征，表示的是指纹纹路的各个点的方向
分布。对于某个特定的点来说，方向可以是该点所在脊线或谷线的切线方向。参见图3A所示的指纹纹路示意图，以及图3B所示的图3A指纹纹路的方向场示意图。
细节特征，是指纹纹路的局部特征，可以包括指纹纹路的转折点、分歧点、孤立点、终结点、中断点、环点或者短纹等。当然，该细节特征的具体类型仅仅是一种示例，本申请可以并不局限于此。
在以参考点、方向场及细节特征组合指纹模板的场景中，本申请提供了指纹存储方法的另一实施例。具体地，参见图4，其示出了指纹存储方法实施例2的流程。如图4所示，该指纹存储方法实施例2可以包括步骤S201～步骤S204。
步骤S201：依据预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息。
其中，由于预设提取规则要求三种指纹特征提取自不同的指纹图像，因此，生成提示信息，提示用户输入三个手指的指纹图像。
在电子设备上，显示提示信息。其中，提示信息可以是依次显示的，例如，请输入中指的指纹图像，请输入食指的指纹图像，请输入拇指的指纹图像。当然，这仅仅是一种示例，本实施例并不局限于此。
步骤S202：响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像。
其中，用户输入指纹图像后，指纹采集模块便可采集到指纹图像，本实施例的执行模块，便可获取到该多个指纹图像。
步骤S203：按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
其中，预设提取规则可以表示参考点、方向场及细节特征分别提取自哪个指纹图像。例如，参考点提取自食指指纹图像，方向场提取自中指指纹图像，细节特征提取自拇指指纹图像。当然，这仅仅是一种示例，本申请并不局限于此。
为了便于描述，将提取到的参考点、方向场及细节特征分别成为目标参考点、方向场及细节特征。
步骤S204：存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
其中，提取到的目标指纹特征可以表示一个虚拟的指纹模板。
由以上的技术方案可知，本实施例采用三个手指来组成虚拟的指纹目标，即分别从该三个手指的指纹图像中提取参考点、方向场及细节特征，用提取到的指纹特征来表示一个指纹模板。
在实际应用中，若使用参考点、方向场及细节特征来表示一个指纹模板，该三个指纹特征还可以来自两个手指的指纹图像。具体地，参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像。
预设提取规则中规定，从两个指纹图像中均要提取参考点，但是否可以提取到，且提取到几个，取决于指纹图像的实际情况。
具体来讲，根据上述对参考点的说明可知，参考点的数量并不固定，具体由用户指纹的实际情况决定。同样以人脸图像为例，若人脸图像不仅包括五官，还包括斑点。在从真实的人脸图像中提取时，可能提取到斑点，也可能不能提取到斑点。
针对此种应用场景，本申请提供了又一指纹存储方法实施例。如图5所示，其示出了指纹存储方法实施例3的流程。如图5所示，该指纹存储方法实施例3可以具体包括步骤S301～步骤S304。
步骤S301：依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提示信息。
其中，由于预设提取规则使用两个手指的指纹图像，因此，生成提示用户输入两个手指的指纹图像的提示信息。
步骤S302：响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的两个指纹图像。
步骤S303：按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
其中，在两个指纹图像中分别提取方向场及细节特征，但在两个指纹
图像中均提取参考点。例如，从拇指中提取参考点及方向场，从食指中提取参考点及细节特征。
为了便于描述，将从指纹图像中提取到的参考点称为目标参考点，将从指纹图像中提取到的方向场称为目标方向场，将从指纹图像中提取到的细节特征称为目标细节特征。
步骤S304：存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
由以上的技术方案可知，本实施例采用两个手指来组成虚拟的指纹模板，即方向场及细节特征分别来自不同手指的指纹图像，参考点来自两个手指的指纹图像，用提取到的指纹特征来表示一个指纹模板。
在实施中，指纹采集模块在采集指纹图像时，可以生成手指标识，手指标识用于表示指纹图像来自哪一手指。例如，指纹采集模块采集中指的指纹图像时，生成该指纹图像对应的手指标识，即“中指”。当然，手指标识的具体形式仅仅是一个示例，本申请并不局限于此。
在这种场景中，上述任意一种指纹存储方法实施例还可以包括下述步骤A1。
步骤A1：生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
其中，指纹图像具有各自的手指标识，则从该指纹图像中提取到的指纹特征也可以具有手指标识。指纹特征的手指标识，即该指纹特征来自的指纹图像的手指标识。
生成指纹特征与手指标识之间的对应关系并进行存储。这样，每个指纹特征并具有各自的手指标识。例如，参考点提取自拇指的指纹图像，则参考点的手指标识为“拇指”；方向场提取自食指的指纹图像，则参考点的手指标识为“食指”；细节特征提取自中指的指纹图像，则参考点的手指标识为“中指”。
以上步骤A1的设置，可以方便利用存储的指纹特征，对指纹进行识别，具体说明参见下文。
在实际应用中，存储的指纹特征，可以用于对用户输入的待识别指纹进行识别。对此，本申请提供了一种指纹识别方法实施例，如图6所示，该指纹识别方法实施例可以包括步骤S401～步骤S405。
步骤S401：获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像。
其中，用户在打开电子设备中某些需指纹识别的应用时，需要在指纹采集模块上输入指纹，指纹采集模块可采集到该指纹的指纹图像。为了便于描述，将采集到的指纹图像称为待识别指纹图像。
步骤S402：按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征。
步骤S403：将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配。
其中，预先存储的目标指纹特征，可以是按照上文任意一种指纹存储方法实施例存储的目标指纹特征。
本步骤的具体实现方式，可以是将每个待识别指纹特征分别与每个目标指纹特征一一匹配，但是，这种方式的执行效率较低。因此，可以根据待识别指纹特征的类型，将其与对应类型的目标指纹特征进行匹配，以提高匹配效率。
例如，指纹特征包括参考点、方向场及细节特征，则将待识别参考点与目标参考点匹配，将待识别方向场与目标方向场匹配，将待识别细节特征与目标细节特征匹配。
具体地，在目标指纹特征为按照上述指纹存储方法实施例3的方式存储的情况下，每个目标指纹特征均具有手指标识，因此，可以利用手指标识来将相同类型的待识别指纹特征及目标指纹特征进行匹配。
当然，需要待识别指纹特征同样具有手指标识，该手指标识的设置方法可以参照上述目标指纹特征手指标识的设置方法，此处并不赘述。
步骤S404：若各个所述待识别指纹特征均匹配成功，提示识别成功。
其中，在每个待识别指纹特征均匹配成功的情况下，才能表示识别成功。
步骤S405：若某个所述待识别指纹特征并未匹配成功，提示识别失败。
其中，若存在并未匹配成功的待识别指纹特征，则表示识别失败。具体的匹配过程可以是，将各个待识别指纹特征与目标指纹特征依次匹配，只要某个待识别指纹特征并未匹配成功，则提示识别失败。或者，匹配过程还可以是，将各个待识别指纹特征与目标指纹特征同时匹配，匹配结果中存在并未匹配成功的待识别指纹特征，则表示识别失败。
下面对本申请提供的指纹存储装置及指纹识别装置进行介绍，需要说明的是，有关指纹存储装置及指纹识别装置的说明可以参照上文提供的指纹存储方法及指纹识别方法，以下并不做赘述。
参照图7，其示出了本申请提供的指纹存储装置实施例1的结构。该指纹存储装置实施例1应用在设置有指纹采集模块的电子设备上，如图7所示，该指纹存储装置实施例1可以包括：指纹图像获取模块701、目标指纹特征提取模块702及目标指纹特征存储模块703；其中：
指纹图像获取模块701，用于获取所述指纹采集模块采集到的多个指纹图像；其中，所述指纹图像为不同手指的指纹图像；
目标指纹特征提取模块702，用于按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
目标指纹特征存储模块703，用于存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
可选地，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点、方向场及细节特征提取自不同的指纹图像；
相应地，所述指纹存储装置还包括：
第一指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息；
所述指纹图像获取模块包括：
第一指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像；
所述目标指纹特征提取模块包括：
第一目标指纹特征提取子模块，用于按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
可选地，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像；
相应地，所述指纹存储装置还包括：
第二指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提示信息；
所述指纹图像获取模块包括：
第二指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的两个指纹图像；
所述目标指纹特征提取模块包括：
第二目标指纹特征提取子模块，用于按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
可选地，指纹图像具有手指标识，手指标识用于表示指纹图像对应的手指；
相应地，所述指纹存储装置还包括：
手指标识存储模块，用于生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
另外，本申请还提供了一种指纹识别装置实施例，应用于设置有指纹采集模块的电子设备。如图8所示，该指纹识别装置实施例可以包括：待识别指纹图像获取模块801、待识别指纹特征提取模块802、待识别指纹特征匹配模块803、第一识别结果模块804及第二识别结果模块805；其中：
待识别指纹图像获取模块801，用于获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像；
待识别指纹特征提取模块802，用于按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；
待识别指纹特征匹配模块803，用于将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配；
第一识别结果模块804，用于若各个所述待识别指纹特征均匹配成功，提示识别成功；
第二识别结果模块805，用于若某个所述待识别指纹特征并未匹配成功，提示识别失败。
需要说明的是，本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部分互相参见即可。
还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，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、物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、物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“包括一个……”限定的要素，并不排除在包括上述要素的过程、方法、物品或者设备中还存在另外的相同要素。
对所公开的实施例的上述说明，使本领域专业技术人员能够实现或使用本申请。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的，本文中所定义的一般原理可以在不脱离本申请的精神或范围的情况下，在其它实施例中实现。因此，本申请将不会被限制于本文所示的这些实施例，而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。
Claims (10)
- 一种指纹存储方法，其特征在于，应用于设置有指纹采集模块的电子设备，该方法包括：获取所述指纹采集模块采集到的多个指纹图像；其中，所述指纹图像为不同手指的指纹图像；按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
- 根据权利要求1所述的指纹存储方法，其特征在于，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点、方向场及细节特征提取自不同的指纹图像；相应地，所述指纹存储方法还包括：依据所述预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息；所述获取所述指纹采集模块采集到的多个指纹图像，包括：响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像；所述按照预设提取规则，在每个所述指纹图像中提取目标指纹特征，包括：按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
- 根据权利要求1所述的指纹存储方法，其特征在于，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像；相应地，所述指纹存储方法还包括：依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提 示信息；所述获取所述指纹采集模块采集到的多个指纹图像，包括：响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的两个指纹图像；所述按照预设提取规则，在每个所述指纹图像中提取目标指纹特征，包括：按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
- 根据权利要求1至3任意一项所述的指纹存储方法，其特征在于，指纹图像具有手指标识，手指标识用于表示指纹图像对应的手指；相应地，所述指纹存储方法还包括：生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
- 一种指纹识别方法，其特征在于，应用于设置有指纹采集模块的电子设备，该方法包括：获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像；按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配；若各个所述待识别指纹特征均匹配成功，提示识别成功；若某个所述待识别指纹特征并未匹配成功，提示识别失败。
- 一种指纹存储装置，其特征在于，应用于设置有指纹采集模块的电子设备，该装置包括：指纹图像获取模块，用于获取所述指纹采集模块采集到的多个指纹图 像；其中，所述指纹图像为不同手指的指纹图像；目标指纹特征提取模块，用于按照预设提取规则，在每个所述指纹图像中提取目标指纹特征；其中，所述预设提取规则用于表示在不同的每个指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；目标指纹特征存储模块，用于存储各个所述目标指纹特征；其中，多个所述目标指纹特征用于表示一个指纹模板。
- 根据权利要求6所述的指纹存储装置，其特征在于，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点、方向场及细节特征提取自不同的指纹图像；相应地，所述指纹存储装置还包括：第一指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入三个手指的指纹图像的提示信息；所述指纹图像获取模块包括：第一指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的三个指纹图像；所述目标指纹特征提取模块包括：第一目标指纹特征提取子模块，用于按照预设提取规则，在三个所述指纹图像中，分别提取目标参考点、目标方向场及目标细节特征。
- 根据权利要求6所述的指纹存储装置，其特征在于，所述预设提取规则表示提取的指纹特征包括：参考点、方向场及细节特征，且参考点及方向场提取自同一指纹图像，参考点及细节特征提取自另一指纹图像；相应地，所述指纹存储装置还包括：第二指纹图像输入模块，用于依据所述预设提取规则，显示提示用户输入两个手指的指纹图像的提示信息；所述指纹图像获取模块包括：第二指纹图像获取子模块，用于响应于用户在所述指纹采集模块中输入指纹图像的操作，获取所述指纹采集模块采集到的两个指纹图像；所述目标指纹特征提取模块包括：第二目标指纹特征提取子模块，用于按照预设提取规则，在两个所述指纹图像中的一个指纹图像中提取目标参考点及目标方向场，在另一指纹图像中提取目标参考点及目标细节特征。
- 根据权利要求6至8任意一项所述的指纹存储装置，其特征在于，指纹图像具有手指标识，手指标识用于表示指纹图像对应的手指；相应地，所述指纹存储装置还包括：手指标识存储模块，用于生成每个所述目标指纹特征与各自指纹图像的手指标识之间的对应关系并存储。
- 一种指纹识别装置，其特征在于，应用于设置有指纹采集模块的电子设备，该装置包括：待识别指纹图像获取模块，用于获取所述指纹采集模块采集到的多个待识别指纹图像；其中，所述待识别指纹图像为不同手指的指纹图像；待识别指纹特征提取模块，用于按照预设提取规则，在每个所述待识别指纹图像中提取待识别指纹特征；其中，所述预设提取规则用于表示在不同的每个待识别指纹图像中提取何种指纹特征，且多种所述指纹特征为用于组合为一个指纹模板的指纹特征；待识别指纹特征匹配模块，用于将各个所述待识别指纹特征分别与预先存储的目标指纹特征进行匹配；第一识别结果模块，用于若各个所述待识别指纹特征均匹配成功，提示识别成功；第二识别结果模块，用于若某个所述待识别指纹特征并未匹配成功，提示识别失败。
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| CN106682623A (zh) * | 2016-12-28 | 2017-05-17 | 大唐电信（成都）信息技术有限公司 | 一种指纹信息采集方法及指纹采集系统 |
| CN106650706B (zh) * | 2017-01-16 | 2018-10-19 | 珠海格力电器股份有限公司 | 一种指纹采集方法、装置及移动终端 |
| WO2018205177A1 (zh) * | 2017-05-10 | 2018-11-15 | 深圳市汇顶科技股份有限公司 | 指纹匹配方法、装置以及电子设备 |
| CN109255223B (zh) * | 2018-08-23 | 2020-11-20 | 杭州天谷信息科技有限公司 | 一种基于瞳孔图像采集技术的身份验证安全认证系统 |
| CN109190343B (zh) * | 2018-08-23 | 2020-07-28 | 北京梦天门科技股份有限公司 | 一种基于指纹识别的身份验证安全认证系统 |
| CN112262392B (zh) * | 2019-05-21 | 2024-07-19 | 深圳市汇顶科技股份有限公司 | 指纹识别装置、指纹识别方法及电子设备 |
| CN110601853B (zh) * | 2019-09-17 | 2021-05-11 | 腾讯科技（深圳）有限公司 | 一种区块链私钥生成方法以及设备 |
| CN110717429B (zh) * | 2019-09-27 | 2023-02-21 | 联想(北京)有限公司 | 一种信息处理方法、电子设备及计算机可读存储介质 |
| CN111639521B (zh) * | 2020-04-14 | 2023-12-01 | 天津极豪科技有限公司 | 指纹合成方法、装置、电子设备及计算机可读存储介质 |
| CN113011284B (zh) * | 2021-03-01 | 2023-05-26 | 杭州景联文科技有限公司 | 一种签名指印的识别方法 |
| CN113886788A (zh) * | 2021-09-23 | 2022-01-04 | 惠州Tcl移动通信有限公司 | 一种指纹解锁控制方法、装置、终端设备及存储介质 |
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