WO2018129687A1 - 指纹防伪方法和设备 - Google Patents

指纹防伪方法和设备 Download PDF

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Publication number
WO2018129687A1
WO2018129687A1 PCT/CN2017/070941 CN2017070941W WO2018129687A1 WO 2018129687 A1 WO2018129687 A1 WO 2018129687A1 CN 2017070941 W CN2017070941 W CN 2017070941W WO 2018129687 A1 WO2018129687 A1 WO 2018129687A1
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WIPO (PCT)
Prior art keywords
face
fingerprint
image
template
target
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PCT/CN2017/070941
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English (en)
French (fr)
Inventor
李治农
车全宏
Original Assignee
厦门中控智慧信息技术有限公司
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Application filed by 厦门中控智慧信息技术有限公司 filed Critical 厦门中控智慧信息技术有限公司
Priority to PCT/CN2017/070941 priority Critical patent/WO2018129687A1/zh
Priority to US16/098,276 priority patent/US11144772B2/en
Priority to CN201780000021.5A priority patent/CN107077615A/zh
Publication of WO2018129687A1 publication Critical patent/WO2018129687A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993Evaluation of the quality of the acquired pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70Multimodal biometrics, e.g. combining information from different biometric modalities

Definitions

  • the present invention relates to the field of information processing, and in particular, to a fingerprint anti-counterfeiting method and device.
  • fingerprint identification Since fingerprint information is always on the finger of a person and each person's fingerprint is different, the use of fingerprint recognition in the field of information security becomes more and more common.
  • fingerprint identification has the problem of false fingerprints, that is, if the criminals can obtain a fake fingerprint film after obtaining a person's fingerprint image, the criminals can use the fake fingerprint film to perform fingerprint recognition, thereby Pretending to be the identity of a real fingerprint user, so as to obtain some permissions that cannot be obtained, there is a great security risk.
  • the existing fingerprint anti-counterfeiting method mainly includes analyzing the fingerprint image, that is, determining whether the analyzed fingerprint is a real user's fingerprint from certain parameters of the fingerprint image, thereby achieving anti-counterfeiting purposes;
  • the embodiment of the invention provides a fingerprint anti-counterfeiting method and device for efficiently implementing the fingerprint anti-counterfeiting function.
  • the embodiment of the present invention provides the following technical solutions:
  • a fingerprint anti-counterfeiting method the method being performed by a fingerprint anti-counterfeiting device, the method comprising:
  • the fingerprint image is a real fingerprint image.
  • the embodiment of the present invention further provides the following technical solutions:
  • a fingerprint anti-counterfeiting device includes:
  • a first acquiring unit configured to acquire a fingerprint image
  • control unit configured to control the camera to acquire a face image under a preset trigger condition
  • a face recognition unit configured to perform face recognition on the face image according to a pre-stored face template
  • a determining unit configured to determine that the fingerprint image is a real fingerprint image when the face recognition is successful.
  • the fingerprint image is acquired, and under the preset trigger condition, the camera is controlled to acquire the face image. Then, the face image is subjected to face recognition according to the face template stored in advance. When the face recognition is successful, it is determined that the fingerprint image is a real fingerprint image. In this way, the authenticity of the fingerprint image is verified according to the face recognition of the face image, and the fingerprint feature and the face feature belonging to the same user can uniquely identify the user, so that the fingerprint feature and the face feature of the user can be Correlation is performed. If the face image is successfully recognized according to the preset face template, the verification function is performed, so that the acquired fingerprint image can be determined as a real fingerprint image.
  • the illegal user has to forge the fingerprint image and the face image that meet the requirements at the same time, the fake fingerprint image can be determined to be true, which is not easy to achieve, and the fingerprint anti-counterfeiting device acquires the face image to be acquired under the preset trigger condition, and the limitation is The user's participation in acquiring the face image by the device, thereby further reducing the chance of forging the face image, thereby realizing an efficient fingerprint anti-counterfeiting effect.
  • FIG. 1 is a flowchart of a fingerprint anti-counterfeiting method according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a fingerprint anti-counterfeiting method according to another embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of a fingerprint anti-counterfeiting device according to another embodiment of the present invention.
  • the embodiment of the invention provides a fingerprint anti-counterfeiting method and device for efficiently implementing the fingerprint anti-counterfeiting function, so that the fingerprint anti-counterfeiting function of the fingerprint anti-counterfeiting device is simple and accurate.
  • FIG. 1 is a flowchart of a fingerprint anti-counterfeiting method according to an exemplary embodiment. The method can be used in a fingerprint anti-counterfeiting device. Referring to FIG. 1, the method process provided by the embodiment of the present invention includes:
  • Step 101 Acquire a fingerprint image
  • Step 102 Control the camera to acquire a face image under a preset trigger condition
  • Step 103 Perform face recognition on the face image according to the pre-stored face template.
  • Step 104 When the face recognition is successful, determine that the fingerprint image is a real fingerprint image.
  • the method of the embodiment of the present invention further includes: before the face recognition is performed on the face image according to the pre-stored face template, the method of the embodiment of the present invention further includes:
  • the target face template corresponding to the target fingerprint template is obtained from the database according to the correspondence between the fingerprint template and the face template, and the database is pre-stored with the fingerprint. Correspondence between the template and the face template;
  • Perform face recognition on the face image according to the pre-stored face template including:
  • Face recognition is performed on the face image according to the target face template.
  • the method of the embodiment of the present invention further includes:
  • the face image is replaced with the face image.
  • the method of the embodiment of the present invention further includes:
  • the method of the embodiment of the present invention further includes:
  • the step of establishing a correspondence between the target fingerprint template and the target face template is performed.
  • the method of the embodiment of the present invention further includes:
  • the step of replacing the target face template with the face image is performed.
  • the fingerprint anti-counterfeiting device includes a fingerprint collector.
  • the camera is controlled to obtain a face image, including:
  • the camera When detecting that the fingerprint collector acquires the fingerprint image, the camera is controlled to acquire the face image.
  • Perform face recognition on the face image according to the pre-stored face template including:
  • the face template group includes a plurality of face templates belonging to the same person
  • the fingerprint image is determined to be a real fingerprint image, including:
  • the fingerprint image is a real fingerprint image.
  • the fingerprint image is acquired, and under the preset trigger condition, the camera is controlled to acquire the face image. Then, the face image is subjected to face recognition according to the face template stored in advance. When the face recognition is successful, it is determined that the fingerprint image is a real fingerprint image. In this way, the authenticity of the fingerprint image is verified according to the face recognition of the face image, and the fingerprint feature and the face feature belonging to the same user can uniquely identify the user, so that the fingerprint feature and the face feature of the user can be Correlation is performed. If the face image is successfully recognized according to the preset face template, the verification function is performed, so that the acquired fingerprint image can be determined as a real fingerprint image.
  • a fingerprint image that is illegally falsified by the user can be detected. Because illegal users have to fake the fingerprint image and face that meet the requirements at the same time.
  • the image can make the forged fingerprint image as true, which is not easy to achieve, and the fingerprint anti-counterfeiting device acquires the face image to be acquired under the preset trigger condition, which limits the participation degree of the user when the device acquires the face image, thus, The opportunity to forge face images is further reduced, thereby achieving an efficient fingerprint anti-counterfeiting effect.
  • FIG. 2 is a flowchart of a fingerprint anti-counterfeiting method according to an exemplary embodiment.
  • the method can be used in a fingerprint anti-counterfeiting device, and the method of the method for performing the method provided by the embodiment of the present invention is taken as an example.
  • the method flow provided by the embodiment of the present invention includes:
  • Step 201 Acquire a fingerprint image.
  • the fingerprint anti-counterfeiting device acquires a fingerprint image of the user to be identified.
  • the fingerprint anti-counterfeiting device may be a device with a fingerprint collector.
  • the fingerprint anti-counterfeiting device acquires the fingerprint image of the user through the fingerprint collector.
  • the fingerprint anti-counterfeiting device is a device with fingerprint recognition and fingerprint anti-counterfeiting function.
  • the fingerprint anti-counterfeiting judgment is performed by face recognition of the face image.
  • the fingerprint anti-counterfeiting device may include a fingerprint collector for collecting user fingerprint images, a camera for acquiring the user's face image, a storage medium for storing information, a processor, and the like, and may of course not include a camera. Devices that are set up independently, but can communicate with these devices to transfer data or control commands.
  • Step 202 When detecting that the fingerprint collector acquires the fingerprint image, the camera is controlled to acquire the face image.
  • the fingerprint anti-counterfeiting device detects that the fingerprint collector on the fingerprint image is acquired. At this time, the fingerprint anti-counterfeiting device controls the camera to take in the face image.
  • the action of the fingerprint anti-counterfeiting device to acquire the fingerprint image triggers the device to perform the acquisition of the facial image, so that the user does not need to actively trigger.
  • the specific method for the fingerprint anti-counterfeiting device to control the camera to acquire the face image may be: controlling the camera to acquire the face image under the preset trigger condition.
  • the preset triggering condition is that the user to which the face image belongs does not need to cooperate with the fingerprint anti-counterfeiting device to acquire the face image.
  • the above detection of the fingerprint collector acquiring the fingerprint image is one of the preset trigger conditions.
  • the fingerprint anti-counterfeiting device acquires the face image to be acquired under the preset trigger condition, which limits the participation of the user in the fingerprint anti-counterfeiting device to obtain the face image, and prevents the criminals from even forging the face, thereby further reducing the Opportunity to fake face images.
  • the preset triggering condition for the fingerprint anti-counterfeiting device to control the camera to obtain the facial image has a plurality of conditions, which are not specifically limited in the embodiment of the present invention.
  • the preset triggering condition is a condition that the user to which the fingerprint image belongs is not required to cooperate actively.
  • the fingerprint anti-counterfeiting device is provided with a distance sensor
  • the preset triggering condition may be: when detecting that the user is close to the fingerprint collector or the fingerprint anti-counterfeiting device, triggering the fingerprint anti-counterfeiting device to control the camera to acquire the face image; or, in the camera When it is detected that there is a user at the preset position, the fingerprint anti-counterfeiting device is triggered to control the camera to acquire a face image and the like.
  • the preset triggering condition is that the user does not need to actively cooperate with the fingerprint image, for example, by using various methods described above, so that when the fingerprint anti-counterfeiting device controls the camera to acquire the face image, the user does not perceive the ingested face image, and only knows that The fingerprint recognition is performed to improve the concealment of the face image acquisition, and the user is prevented from forging the human face, thereby improving the security of the fingerprint anti-counterfeiting of the embodiment of the present invention.
  • the device control camera acquires a face image, which is triggered when the fingerprint image is acquired.
  • the face image acquired by the camera is adjacent to or at the same time as the fingerprint image is acquired, and the capturing direction of the camera is opposite to the fingerprint.
  • the face image and the fingerprint image acquired by the fingerprint security device belong to the same user.
  • the fingerprint anti-counterfeiting has higher reliability.
  • the camera can be disposed in a concealed position.
  • the lens of the camera is provided with a filter that is flush with the surface of the casing and has similar color, or the camera is disposed with the camera.
  • Fingerprint anti-counterfeiting equipment has a certain distance, such as at the top of the wall.
  • the camera of the fingerprint anti-counterfeiting device is concealed, and when there is a module such as a fill light module that works with the camera, the modules are also hidden, so that the user who collects the fingerprint cannot see that the fingerprint anti-counterfeiting device includes A component related to acquiring a face image.
  • the acquired face image is acquired without the user's perception, and the face image is used for face recognition to determine the authenticity of the fingerprint according to the face recognition result.
  • the face recognition result can be used to determine the authenticity of the fingerprint, and the face image is obtained without the user's knowledge, so that the illegal user who forges the fingerprint does not pay attention to the fake face, thereby improving the reliability of the face recognition, thereby implementing the present invention.
  • the method of the example can effectively perform the anti-counterfeiting determination on the fingerprint.
  • Step 203 When the target fingerprint template matching the fingerprint image is queried from the pre-established database, the target fingerprint template is obtained from the database according to the correspondence between the fingerprint template and the face template.
  • the target face template corresponding to the board.
  • the database prestores the correspondence between the fingerprint template and the face template.
  • a database is pre-established, and the database stores a fingerprint template.
  • the database may be set on the fingerprint anti-counterfeiting device or may be located in other database devices, and the fingerprint anti-counterfeiting device may communicate with the database device.
  • the fingerprint anti-counterfeiting device queries the database according to the fingerprint image to check whether there is a matching fingerprint template, for example, fingerprinting the fingerprint image and the fingerprint template in the database one by one until the fingerprint image is acquired.
  • the matching target fingerprint template is also established on the database, and according to the correspondence, the target face template corresponding to the target fingerprint template can be obtained. Thereby, the target face template can be used for face recognition.
  • the fingerprint template may be in the form of a fingerprint image, or may be in the form of a fingerprint feature point, and other forms capable of recording the fingerprint feature, which are not specifically limited in the embodiment of the present invention.
  • the steps of image preprocessing, feature point extraction of the fingerprint image, and the like may be included.
  • the face template may be in the form of a face image, or may be in the form of a face feature point, and other forms capable of recording a face feature, which are not specifically limited in this embodiment of the present invention.
  • the device determines that the fingerprint recognition fails, the corresponding operation of the fingerprint recognition failure may be directly performed.
  • the correspondence between the pre-established fingerprint template and the face template may be that the staff of the fingerprint anti-counterfeiting device input the corresponding relationship to the fingerprint anti-counterfeiting device or the database after establishing the correspondence.
  • the fingerprint anti-counterfeiting device may be established in advance.
  • the method of the embodiment of the present invention further includes:
  • Step A1 Acquire a target fingerprint template.
  • the fingerprint anti-counterfeiting device obtains the target fingerprint template. For example, when performing the enrolled fingerprint operation, the fingerprint anti-counterfeiting device takes the fingerprint image of a certain user as the target fingerprint template, and of course, after extracting the key feature information of the fingerprint image, the key feature is obtained.
  • the information is a fingerprint template, and the form of the target fingerprint template is not specifically limited in the embodiment of the present invention.
  • Step A2 Control the camera to obtain the target face template under the preset trigger condition
  • Step A2 specifically controls the manner in which the camera acquires the target face template, the target fingerprint template, the target face template, and the preset trigger condition for triggering the control camera to acquire the target face template.
  • the camera acquires the target face template, the target fingerprint template, the target face template, and the preset trigger condition for triggering the control camera to acquire the target face template.
  • the obtained face image may be directly used as the target face template, or after the face feature point of the face image is extracted, the face feature point is used as the target face template, and other face faces can be recorded.
  • the form of the feature for example, texture features, face color, and the like.
  • Step A3 Establish a correspondence between the target fingerprint template and the target face template.
  • the fingerprint anti-counterfeiting device can bind the two, establish a correspondence between the target fingerprint template and the target face template, and store the corresponding relationship.
  • the correspondence relationship may be stored in association with other user information belonging to the same user, for example, the information such as the job number and name of the user is bound to the correspondence between the target fingerprint template and the target face template, and then stored. .
  • the fingerprint anti-counterfeiting device obtains the registered fingerprint image as the target fingerprint template, and the fingerprint anti-counterfeiting device controls the camera to acquire the user.
  • the face image is stored as a target face template and associated with the registered fingerprint. Establish a correspondence between the target fingerprint template and the target face template.
  • the method further comprises: acquiring a target fingerprint image.
  • the steps of acquiring the target fingerprint template and acquiring the target fingerprint image may be separated by a period of time.
  • acquiring the target fingerprint template is performed when the user performs fingerprint registration on the fingerprint anti-counterfeiting device, and acquiring the target fingerprint image is performed by the user.
  • the method of the embodiment of the present invention further includes: performing fingerprint identification on the target fingerprint image according to the target fingerprint template, before the fingerprint identification verification is obtained, and then the mapping between the target fingerprint template and the target face template is established. If the fingerprint identification is successful, the step of establishing a correspondence between the target fingerprint template and the target face template is performed.
  • the target face template of the user is also obtained, according to the target fingerprint template. If the fingerprint image is successfully identified, the target fingerprint template and the target fingerprint image belong to the same user, and the target face template and the target fingerprint template of the user may be bound, that is, the correspondence between the target fingerprint template and the target face template is established. Relationship to record the user's information and prepare for subsequent fingerprint anti-counterfeiting through face recognition.
  • Step 204 Perform face recognition on the face image according to the target face template.
  • the face image After obtaining the target face template, the face image can be face-recognized according to the target face template.
  • the specific face recognition method is not limited in the embodiment of the present invention, and may be, for example, an overall feature recognition of a face, a partial feature recognition of a face, or a key point comparison after extracting a key point of a face, and a specific method. It may include preprocessing of a face image, feature point extraction of a face image, or skin color analysis of a face image.
  • the acquired face image is acquired under a preset trigger condition, and the user does not need to cooperate with the fingerprint anti-counterfeiting device to acquire the face image, so that the obtained face image may be disadvantageous for face recognition, Improve the reliability of face recognition.
  • the face recognition algorithm of the method of the embodiment of the invention supports images of various face image capturing angles, and the specific implementation method is: correcting a face image that is not a front face, correcting it to a face image of a face, and then performing a face Registration and identification; the other is to directly register and identify face images from different angles.
  • the step 203 may not be included, but the face image is directly recognized according to the pre-stored face template. That is, a database including a face template is pre-established, and the face template may be one or more, and the face template in the database is directly used for face recognition. If the recognition is successful, the recognized face image may be considered to belong to The user is recorded in the database in advance, and the face image of the user who is not recorded the face template will fail to be recognized, thereby also realizing the screening of the user when the face template matching the face image is on the database. That is, the face image is successfully recognized according to the pre-stored face template, and the fingerprint information of the user to which the face image belongs is determined to be the real fingerprint information. If the face recognition fails, the fingerprint image is determined to be forged. Fingerprint image.
  • Step 205 When the face recognition is successful, determine that the fingerprint image is a real fingerprint image.
  • Face recognition is performed on the face image according to the target face template, and then it is determined whether the face recognition is successful, that is, whether the face recognition is passed.
  • the success of the face recognition may be, for example, that the target face template and the face image are matched, and the face recognition is successful if the target face template and the face image match. Or, comparing the target face template and the face image, the face similarity is obtained, and when the face similarity is greater than the preset threshold, the face recognition is successful.
  • face recognition can also include a variety of different types of face recognition algorithms.
  • the face recognition is successful, it is determined that the fingerprint image is a real fingerprint image to perform the corresponding operation
  • the privilege operation for performing the fingerprint identification succeeding such as the use of a checkpoint or the like, or the generation of a successful fingerprint identification record, etc., is not specifically limited in the embodiment of the present invention.
  • the face recognition fails, it is determined that the fingerprint image is forged to perform an operation of identifying the failure, such as issuing a prompt for failing the fingerprint recognition, issuing an alarm, performing an identification abnormal record, and the like.
  • the face image of the user may be acquired again, or the user may be prompted to perform the fingerprint acquisition operation again. This embodiment of the present invention does not specifically limit this.
  • the face image matches the target face template, and the target face template has a corresponding relationship with the target fingerprint template, and the target fingerprint template is matched with the fingerprint image, thereby obtaining the The face image and the fingerprint image have a corresponding relationship.
  • the fingerprint image and the face image may be considered to belong to the same user, and the target fingerprint template user and the fingerprint image are The user is the same. In this way, it is possible to prevent unauthorized users from using the fake fingerprint for fingerprint recognition.
  • the fingerprint image is forged, for example, after obtaining a fingerprint image of a person, a fake fingerprint film can be made with a special material, and the user can use the fake fingerprint film to perform fingerprint recognition, if only the fingerprint recognition is performed, At this time, the unlawful user can pretend to be the identity of the real fingerprint user, thereby obtaining some rights that cannot be obtained, and there is a great security risk.
  • the face image of the unlawful user is acquired by the fingerprint anti-counterfeiting device. Even if the fingerprint recognition is successful, the corresponding target face template is obtained according to the correspondence between the face template and the fingerprint template, and the unintended user is not forged.
  • the fingerprint anti-counterfeiting device of the embodiment of the invention has a fingerprint anti-counterfeiting function.
  • the method of the embodiment of the present invention further includes:
  • the face image is replaced with the face image.
  • the correspondence between the target fingerprint template and the target face template can be updated in time.
  • the face image can be ensured to be a legitimate user, that is, the user of the face image and the target fingerprint template are the same.
  • the face of the face template and the fingerprint template can be recorded as a new face, because the user follows With the increase of age and changes in physical condition, the face will have certain changes.
  • using a newer face as a face template will improve the accuracy of subsequent face recognition.
  • the face image may be used to establish the corresponding relationship in the image form, and may be in other manners, such as a face feature point, etc., which is not specifically limited in this embodiment of the present invention.
  • the user establishes the correspondence between the target fingerprint template and the target face template when the fingerprint anti-counterfeiting device is first registered, and then performs the use of the face image to replace the target person in the subsequent acquisition and recognition of the face image and the fingerprint image.
  • the steps of the face template after acquiring the target fingerprint template for registration, after the first fingerprint recognition and acquiring the target fingerprint template, establishing a correspondence between the target fingerprint template and the target face template, and then following the facial image and the fingerprint image.
  • the step of replacing the target face template with the face image is performed.
  • the step of using the face image to replace the target face template in the embodiment of the present invention can be used in various embodiments, and the embodiment of the present invention does not Specifically limited.
  • the method of the embodiment of the present invention further includes: determining whether the image quality of the face image is greater than a preset image quality threshold; if the image quality of the face image is greater than the preset Image quality threshold, the step of replacing the target face template with the face image is performed.
  • the face image is replaced by the face image
  • the face image is filtered to ensure that the face template in the correspondence between the face template and the fingerprint template is favorable for face recognition, thereby reducing subsequent face recognition.
  • a plurality of face templates may be used for comparison with the face image.
  • the face image is subjected to face recognition.
  • the specific implementation method may be: performing face recognition on the face image according to the pre-stored face template group, wherein the face template group includes a plurality of face templates belonging to the same person;
  • the fingerprint image is determined to be a real fingerprint image.
  • the correspondence between the target fingerprint template and the target face template may be a correspondence between the target fingerprint template and the plurality of target face templates, and the multiple target face templates belong to the same user. Therefore, in step 203, acquiring a target face template corresponding to the target fingerprint template includes acquiring a plurality of target face templates corresponding to the target fingerprint template. In the subsequent face recognition step, if the face recognition performed on the face image by using at least one of the target face templates is successful, the fingerprint image may be determined to be a real fingerprint image.
  • multiple sheets means two or more than two, that is, at least two.
  • Face template for face recognition of face images is especially useful for improving recognition accuracy.
  • the fingerprint image is acquired, and under the preset trigger condition, the camera is controlled to acquire the face image. Then, the face image is subjected to face recognition according to the face template stored in advance. When the face recognition is successful, it is determined that the fingerprint image is a real fingerprint image. In this way, the authenticity of the fingerprint image is verified according to the face recognition of the face image, and the fingerprint feature and the face feature belonging to the same user can uniquely identify the user, so that the fingerprint feature and the face feature of the user can be Correlation is performed. If the face image is successfully recognized according to the preset face template, the verification function is performed, so that the acquired fingerprint image can be determined as a real fingerprint image.
  • the fake fingerprint image can be determined to be true, which is not easy to achieve, and the fingerprint anti-counterfeiting device acquires the face image to be acquired under the preset trigger condition, and the limitation is The user's participation in acquiring the face image by the device, thereby further reducing the chance of forging the face image, thereby realizing an efficient fingerprint anti-counterfeiting effect.
  • FIG. 3 is a schematic structural diagram of a fingerprint anti-counterfeiting device according to an exemplary embodiment, which may be used to perform the fingerprint anti-counterfeiting method in the embodiment corresponding to FIG. 1 and FIG. 2 above.
  • the device includes:
  • a first obtaining unit 301 configured to acquire a fingerprint image
  • the control unit 302 is configured to control the camera to acquire a face image under a preset trigger condition
  • a face recognition unit 303 configured to perform face recognition on the face image according to the pre-stored face template
  • the determining unit 304 is configured to determine that the fingerprint image is a real fingerprint image when the face recognition is successful.
  • the device of the embodiment of the present invention further includes: a second obtaining unit 305,
  • the second obtaining unit 305 is configured to: when querying the target fingerprint template that matches the fingerprint image from the pre-established database, obtain the target corresponding to the target fingerprint template from the database according to the correspondence between the fingerprint template and the face template. Face template, database pre-stored with a pair of fingerprint templates and face templates Should be related;
  • the face recognition unit 303 is further configured to perform face recognition on the face image according to the target face template.
  • the replacing unit 306 is configured to replace the target face template with the face image in the correspondence between the pre-established target fingerprint template and the target face template when the face recognition is successful.
  • the device of the embodiment of the present invention further includes: an establishing unit 307,
  • the first obtaining unit 301 is further configured to acquire a target fingerprint template.
  • the control unit 302 is further configured to control the camera to acquire the target face template under the preset trigger condition
  • the establishing unit 307 is configured to establish a correspondence between the target fingerprint template and the target face template.
  • the device of the embodiment of the present invention further includes a fingerprint identification unit 308.
  • the first obtaining unit 301 is further configured to acquire a target fingerprint image
  • the fingerprint identification unit 308 is further configured to perform fingerprint identification on the target fingerprint image according to the target fingerprint template.
  • the establishing unit 307 performs the step of establishing a correspondence relationship between the target fingerprint template and the target face template.
  • the quality determining unit 309 is configured to determine whether the image quality of the face image is greater than a preset image quality threshold
  • the replacement unit 306 performs the step of replacing the target face template with the face image.
  • the fingerprint anti-counterfeiting device includes a fingerprint collector.
  • the control unit 302 is further configured to: when detecting that the fingerprint collector acquires the fingerprint image, control the camera to acquire the face image.
  • the face recognition unit 303 is further configured to perform a human face image according to the pre-stored face template group. Face recognition, wherein the face template group includes a plurality of face templates belonging to the same person;
  • the determining unit 304 is further configured to determine that the fingerprint image is a real fingerprint image when the face recognition performed on the face image according to the at least one face template in the face template group is successful.
  • the first acquiring unit 301 acquires the fingerprint image
  • the control unit 302 controls the camera to acquire the face image under the preset triggering condition.
  • the face recognition unit 303 performs face recognition on the face image based on the face template stored in advance.
  • the determination unit 304 determines that the fingerprint image is a real fingerprint image. In this way, the authenticity of the fingerprint image is verified according to the face recognition of the face image, and the fingerprint feature and the face feature belonging to the same user can uniquely identify the user, so that the fingerprint feature and the face feature of the user can be Correlation is performed.
  • the verification function is performed, so that the acquired fingerprint image can be determined as a real fingerprint image.
  • a fingerprint image that is illegally falsified by the user can be detected.
  • the fake fingerprint image can be determined to be true, which is not easy to achieve, and the fingerprint anti-counterfeiting device acquires the face image to be acquired under the preset trigger condition, and the limitation is The user's participation in acquiring the face image by the device, thereby further reducing the chance of forging the face image, thereby realizing an efficient fingerprint anti-counterfeiting effect.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Abstract

一种指纹防伪方法和设备,用于高效地实现指纹防伪功能。所述方法包括:获取指纹图像(101);在预设触发条件下,控制摄像头获取人脸图像(102);根据预先存储的人脸模板对人脸图像进行人脸识别(103);当人脸识别成功时,确定指纹图像为真实指纹图像(104)。因属于同一用户的指纹特征和人脸特征都能对该用户进行唯一的标识,从而可将用户的指纹特征和人脸特征进行关联,若根据预设的人脸模板对人脸图像进行人脸识别成功,可确定获取的指纹图像为真实指纹图像。且指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在设备获取人脸图像时的参与度,这样,进一步减少了伪造人脸图像的机会,从而实现了高效的指纹防伪效果。

Description

指纹防伪方法和设备 技术领域
本发明涉及信息处理领域,尤其涉及一种指纹防伪方法和设备。
背景技术
由于指纹信息随时处于人的手指上,且每个人的指纹都不相同,在信息安全领域指纹识别的使用越发常见。但是,指纹识别存在假指纹的问题,即,若不法分子在获取一个人的指纹图像后,可以用特殊材料做出假的指纹膜,不法分子就可以利用假指纹膜去做指纹识别,从而可以冒充真实指纹用户的身份,从而获取一些本无法获取的权限,这存在很大的安全隐患。
现有指纹防伪方法主要有,对指纹图像做分析,即从指纹图像的某些参数来判定所分析的指纹是否是真实用户的指纹,从而达到防伪目的;
但是这样做,需要对真实指纹图像做大量分析,才能从海量数据中找出规律,总结出真指纹、假指纹的可数据化的区别,进而实现防伪的功能。这种方法实现起来并不容易,且其防伪效果总是会滞后于假指纹实现方式,需要经常更新分析真指纹、假指纹的可数据化的区别。这进一步导致了该指纹防伪方法的复杂化。
发明内容
本发明实施例提供了一种指纹防伪方法和设备,用于高效地实现指纹防伪功能。
为了解决上述技术问题,本发明实施例提供以下技术方案:
一种指纹防伪方法,所述方法由指纹防伪设备执行,所述方法包括:
获取指纹图像;
在预设触发条件下,控制摄像头获取人脸图像;
根据预先存储的人脸模板对所述人脸图像进行人脸识别;
当所述人脸识别成功时,确定所述指纹图像为真实指纹图像。
为了解决上述技术问题,本发明实施例还提供以下技术方案:
一种指纹防伪设备,包括:
第一获取单元,用于获取指纹图像;
控制单元,用于在预设触发条件下,控制摄像头获取人脸图像;
人脸识别单元,用于根据预先存储的人脸模板对所述人脸图像进行人脸识别;
确定单元,用于当所述人脸识别成功时,确定所述指纹图像为真实指纹图像。
从以上技术方案可以看出,本发明实施例具有以下优点:
在指纹防伪设备上,获取指纹图像,以及在预设触发条件下,控制摄像头获取人脸图像。然后,根据预先存储的人脸模板对人脸图像进行人脸识别。当人脸识别成功时,确定指纹图像为真实指纹图像。这样,指纹图像的真伪根据人脸图像的人脸识别进行检验,因属于同一用户的指纹特征和人脸特征都能对该用户进行唯一的标识,从而可将用户的指纹特征和人脸特征进行关联,若根据预设的人脸模板对人脸图像进行人脸识别成功,这样即起到了检验的作用,从而可确定获取的指纹图像为真实指纹图像。这样,即可检测出不法用户伪造的指纹图像。因为不法用户要同时伪造出符合要求的指纹图像和人脸图像才能使得伪造的指纹图像判定为真实,这不容易达到,且指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在设备获取人脸图像时的参与度,这样,进一步减少了伪造人脸图像的机会,从而实现了高效的指纹防伪效果。
附图说明
图1是本发明一实施例提供的一种指纹防伪方法的流程图;
图2是本发明另一实施例提供的一种指纹防伪方法的流程图;
图3是本发明另一实施例提供的一种指纹防伪设备的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图,对本发明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发明一部分实施例,而不是全部的实施例。
本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的实施例能够以除了在这里图示或描述的内容以外的顺序实施。此外,术语“包括”和“具有”以及他们的任何变形,意图在于覆盖不排他的包含,例如,包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元,而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本发明实施例提供了一种指纹防伪方法和设备,用于高效地实现指纹防伪功能,使得指纹防伪设备的指纹防伪功能实现起来简单易行且准确。
图1是根据一示例性实施例示出的一种指纹防伪方法的流程图。该方法可用于指纹防伪设备中,参见图1,本发明实施例提供的方法流程包括:
步骤101:获取指纹图像;
步骤102:在预设触发条件下,控制摄像头获取人脸图像;
步骤103:根据预先存储的人脸模板对人脸图像进行人脸识别;
步骤104:当人脸识别成功时,确定指纹图像为真实指纹图像。
可选地,根据预先存储的人脸模板对人脸图像进行人脸识别之前,本发明实施例的方法还包括:
当从预先建立的数据库中,查询到与指纹图像匹配的目标指纹模板时,根据指纹模板和人脸模板的对应关系,从数据库中获取与目标指纹模板对应的目标人脸模板,数据库预存有指纹模板和人脸模板的对应关系;
根据预先存储的人脸模板对人脸图像进行人脸识别,包括:
根据目标人脸模板对人脸图像进行人脸识别。
可选地,当人脸识别成功时,本发明实施例的方法还包括:
在预先建立的目标指纹模板和目标人脸模板的对应关系中,使用人脸图像替换目标人脸模板。
可选地,获取指纹图像之前,本发明实施例的方法还包括:
获取目标指纹模板;
在预设触发条件下,控制摄像头获取目标人脸模板;
建立目标指纹模板和目标人脸模板的对应关系。
可选地,控制摄像头获取目标人脸模板之前,本发明实施例的方法还包括:
获取目标指纹图像;
根据目标指纹模板对目标指纹图像进行指纹识别;
若指纹识别成功,则执行建立目标指纹模板和目标人脸模板的对应关系的步骤。
可选地,使用人脸图像替换目标人脸模板之前,本发明实施例的方法还包括:
判断人脸图像的图像质量是否大于预设图像质量阀值;
若人脸图像的图像质量大于预设图像质量阀值,则执行使用人脸图像替换目标人脸模板的步骤。
可选地,指纹防伪设备包括指纹采集器,
在预设触发条件下,控制摄像头获取人脸图像,包括:
当检测到指纹采集器获取指纹图像时,控制摄像头获取人脸图像。
可选地,
根据预先存储的人脸模板对人脸图像进行人脸识别,包括:
根据预先存储的人脸模板组对人脸图像进行人脸识别,其中人脸模板组包括多张属于同一人的人脸模板;
当人脸识别成功时,确定指纹图像为真实指纹图像,包括:
当根据人脸模板组中的至少一张人脸模板对人脸图像进行的人脸识别成功时,确定指纹图像为真实指纹图像。
综上所述,在指纹防伪设备上,获取指纹图像,以及在预设触发条件下,控制摄像头获取人脸图像。然后,根据预先存储的人脸模板对人脸图像进行人脸识别。当人脸识别成功时,确定指纹图像为真实指纹图像。这样,指纹图像的真伪根据人脸图像的人脸识别进行检验,因属于同一用户的指纹特征和人脸特征都能对该用户进行唯一的标识,从而可将用户的指纹特征和人脸特征进行关联,若根据预设的人脸模板对人脸图像进行人脸识别成功,这样即起到了检验的作用,从而可确定获取的指纹图像为真实指纹图像。这样,可检测出不法用户伪造的指纹图像。因为不法用户要同时伪造出符合要求的指纹图像和人脸 图像才能使得伪造的指纹图像判定为真实,这不容易达到,且指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在设备获取人脸图像时的参与度,这样,进一步减少了伪造人脸图像的机会,从而实现了高效的指纹防伪效果。
图2是根据一示例性实施例示出的一种指纹防伪方法的流程图。该方法可用于指纹防伪设备中,以指纹防伪设备执行本发明实施例提供的方法的角度为例,参见图2,本发明实施例提供的方法流程包括:
步骤201:获取指纹图像;
指纹防伪设备获取待识别用户的指纹图像。
例如,该指纹防伪设备可以是设有指纹采集器的设备,当用户的手指按压或靠近该指纹采集器时,指纹防伪设备通过该指纹采集器获取该用户的指纹图像。
其中,指纹防伪设备是具有指纹识别和指纹防伪功能的设备,在本发明的实施例中是通过人脸图像的人脸识别来进行指纹防伪判断的。其中该指纹防伪设备可以是包括用于采集用户指纹图像的指纹采集器、用于获取该用户人脸图像的摄像头、用于存储信息的存储介质和处理器等,当然也可以不包括摄像头等可独立设置的器件,但可与这些器件进行通信,以传输数据或控制指令。
步骤202:当检测到指纹采集器获取指纹图像时,控制摄像头获取人脸图像。
指纹防伪设备检测到其上的指纹采集器获取指纹图像,此时,指纹防伪设备控制摄像头摄取人脸图像。
这样,指纹防伪设备获取指纹图像的动作触发该设备执行人脸图像的获取,从而不用用户主动的触发。
在本发明的实施例中,指纹防伪设备控制摄像头获取人脸图像的具体方法可以是,在预设触发条件下,控制摄像头获取人脸图像。其中,该预设触发条件为人脸图像所属的用户无需配合指纹防伪设备获取人脸图像。而上述的检测到指纹采集器获取指纹图像,即为该预设触发条件中的其中之一。指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在指纹防伪设备获取人脸图像时的参与度,防止不法分子连人脸也进行伪造,这样,进一步减少了 伪造人脸图像的机会。
可以理解,触发指纹防伪设备控制摄像头获取人脸图像的预设触发条件具有多种,本发明实施例对此不作具体限定,该预设触发条件为无需该指纹图像所属的用户主动配合的条件。例如,在指纹防伪设备上设有距离传感器,该预设触发条件可以是在检测到有用户靠近指纹采集器或该指纹防伪设备时,触发指纹防伪设备控制摄像头获取人脸图像;或者,在摄像头检测到在预设位置处有用户时,则触发指纹防伪设备控制摄像头获取人脸图像等等。
该预设触发条件为无需该指纹图像所属的用户主动配合,例如通过上述的各种方式实现,从而指纹防伪设备控制摄像头获取人脸图像时,用户察觉不到被摄取人脸图像,只知道在进行指纹识别,从而提高人脸图像获取的隐蔽性,防止了用户伪造人脸,从而提高了本发明实施例的指纹防伪的安全度。
设备控制摄像头获取人脸图像,是在指纹图像获取时触发的,该摄像头获取到的人脸图像即与该指纹图像在获取时间上相邻或同时,在该摄像头的摄取方向为对着该指纹图像所属的用户的人脸时,则该指纹防伪设备获取的人脸图像和指纹图像属于同一个用户。
其中,为了使得用户察觉不到人脸图像的获取,从而使得指纹防伪具有更高的可靠性。可将该摄像头设置在隐蔽的位置,例如,摄像头嵌入指纹防伪设备的壳体时,摄像头的镜头处设有与壳体表面齐平且色泽类似的滤光片,或者将该摄像头设置得与该指纹防伪设备有一定距离,例如在墙顶处等。即,该指纹防伪设备的摄像头隐蔽式设置,在有与该摄像头配合工作的补光模块等模块时,这些模块也做成隐藏式的,从而使被采集指纹的用户无法看出指纹防伪设备包括与获取人脸图像相关的部件。
从而,本发明实施例的指纹防伪方法,获取人脸图像是在用户不察觉的情况下获取的,而该人脸图像用于人脸识别,以根据人脸识别结果判断指纹的真伪。人脸识别结果可用来判别指纹的真伪,而在用户不知情的情况下获取人脸图像,使得伪造指纹的非法用户不注意伪造人脸,提高了人脸识别的可靠性,从而本发明实施例的方法可有效对指纹进行防伪判定。
步骤203:当从预先建立的数据库中,查询到与指纹图像匹配的目标指纹模板时,根据指纹模板和人脸模板的对应关系,从数据库中获取与目标指纹模 板对应的目标人脸模板。
其中,数据库预存有指纹模板和人脸模板的对应关系。
预先建立有一数据库,该数据库存储有指纹模板,该数据库可设于该指纹防伪设备上,也可设于其它数据库设备,而指纹防伪设备可与该数据库设备进行通信交互。指纹防伪设备获取到指纹图像后,根据该指纹图像在该数据库里查询是否具有相匹配的指纹模板,例如将该指纹图像与数据库中的指纹模板逐一进行指纹识别,直到获取到与该指纹图像相匹配的目标指纹模板。在该数据库上还建立有指纹模板和人脸模板的对应关系,根据该对应关系,即可获取到与该目标指纹模板对应的目标人脸模板。从而可利用该目标人脸模板进行人脸识别。
其中,该指纹模板可以是指纹图像形式,也可以是指纹特征点形式,以及其它能记录指纹特征的形式,本发明实施例对此不作具体限定。其中在指纹识别时,可包括图像预处理、指纹图像的特征点提取等步骤。
类似地,该人脸模板可以是人脸图像形式,也可以是人脸特征点形式,以及其它能记录人脸特征的形式,本发明实施例对此不作具体限定。
若在数据库中,获取不到与指纹图像匹配的目标指纹模板,即设备判断出指纹识别失败,则可直接执行指纹识别失败的相应操作。
其中,该预先建立的指纹模板和人脸模板的对应关系可以是指纹防伪设备的工作人员建立完成该对应关系后向该指纹防伪设备或数据库输入该对应关系。或者,也可以是指纹防伪设备提前建立完成,例如,在有的实施例中,在获取指纹图像之前,本发明实施例的方法还包括:
步骤A1:获取目标指纹模板;
指纹防伪设备获取目标指纹模板,例如在执行登记指纹操作时,指纹防伪设备以获取的某用户的指纹图像为目标指纹模板,当然也可以是提取该指纹图像的关键特征信息后,以该关键特征信息为指纹模板,本发明实施例对目标指纹模板的形式不作具体限定。
步骤A2:在预设触发条件下,控制摄像头获取目标人脸模板;
其中,步骤A2具体的控制摄像头获取目标人脸模板的方式和目标指纹模板、目标人脸模板、以及触发控制摄像头获取目标人脸模板的预设触发条件等 描述可参考上述实施例相应的内容。
例如,可以是以获取到的人脸图像直接作为目标人脸模板,也可以是提取人脸图像的人脸特征点后,以该人脸特征点为目标人脸模板,以及其它能记录人脸特征的形式,例如,纹理特征、人脸肤色等等。
步骤A3:建立目标指纹模板和目标人脸模板的对应关系。
在获取到目标指纹模板和目标人脸模板后,指纹防伪设备即可将两者绑定,建立目标指纹模板和目标人脸模板的对应关系,并对该对应关系进行存储。当然,也可将该对应关系与其它的属于同一用户的用户信息进行绑定存储,例如将用户的工号、姓名等信息与该目标指纹模板和目标人脸模板的对应关系进行绑定后存储。
步骤A1至A2的具体使用场景例如可以是,在用户通过指纹防伪设备登记指纹时,指纹防伪设备获取登记的指纹图像,作为目标指纹模板,与此同时,指纹防伪设备控制摄像头获取该用户的人脸图像,作为目标人脸模板并对此进行存储,与登记的指纹做身份关联。建立目标指纹模板和目标人脸模板的对应关系。
可以理解,在上述的步骤A1和A2之间,在有的实施例中,该方法还包括:获取目标指纹图像。此时,获取目标指纹模板和获取目标指纹图像的步骤可能相隔一段时间,例如,获取目标指纹模板是在用户在该指纹防伪设备上进行指纹登记时执行,而获取目标指纹图像是在用户进行第一次指纹识别验证时获取到的,从而,此时,建立目标指纹模板和目标人脸模板的对应关系之前,本发明实施例的方法还包括:根据目标指纹模板对目标指纹图像进行指纹识别。若指纹识别成功,则执行建立目标指纹模板和目标人脸模板的对应关系的步骤。
即在用户进行指纹识别时,例如第一次指纹识别时,当然也可是其它指纹识别操作时,除了获取用户的待识别的目标指纹图像还获取该用户的目标人脸模板,若根据目标指纹模板识别指纹图像成功,则可认为该目标指纹模板和目标指纹图像属于同一用户,则可将该用户的目标人脸模板和目标指纹模板进行绑定,即建立目标指纹模板和目标人脸模板的对应关系,以记录该用户的信息,为后续的通过人脸识别进行指纹防伪做准备。
步骤204:根据目标人脸模板对人脸图像进行人脸识别。
获取到目标人脸模板后,可根据该目标人脸模板对人脸图像进行人脸识别。对具体的人脸识别方法本发明实施例不作限定,例如可以是人脸的整体特征识别、也可以是人脸局部特征识别对比、或者提取人脸关键点后进行关键点比对识别、具体方法可以包括人脸图像的预处理、人脸图像的特征点提取、或人脸图像的肤色分析等。
在本发明有的实施例中,获取人脸图像是在预设触发条件下获取,此时无需用户配合指纹防伪设备获取人脸图像,这样获取到的人脸图像可能不利于人脸识别,为了提高人脸识别的可靠性。本发明实施例的方法的人脸识别算法,支持各种人脸图像捕捉角度的图像,具体的实现方法:一种是对不是正面人脸图像进行校正,校正为人脸正面图像,然后进行人脸登记和识别;另一种是直接对不同角度的人脸图像进行登记和识别。
可以理解,在有的实施例中,可以不包括步骤203,而是直接根据预先存储的人脸模板对人脸图像进行人脸识别。即预先建立有包括人脸模板的数据库,人脸模板可以是一个或多个,直接使用数据库里的人脸模板进行人脸识别,若识别成功,则可认为被识别的该人脸图像所属的用户预先被记录在该数据库上,没被记录人脸模板的用户的人脸图像将会识别失败,从而这样也实现了对用户的筛选,当数据库上具有与人脸图像匹配的人脸模板时,即根据预先存储的人脸模板对人脸图像进行人脸识别成功,可确定人脸图像所属的用户的指纹信息为真实的指纹信息,若人脸识别失败,则确定该指纹图像为伪造的指纹图像。
步骤205:当人脸识别成功时,确定指纹图像为真实指纹图像。
根据目标人脸模板对人脸图像进行人脸识别,然后判断该人脸识别是否成功,即判断人脸识别是否通过。其中人脸识别成功例如可以是指目标人脸模板和人脸图像进行匹配后,目标人脸模板和人脸图像相匹配则人脸识别成功。或者,对比目标人脸模板和人脸图像,得到人脸相似度,当人脸相似度大于预设阀值时,则人脸识别成功。当然人脸识别还可以包括多种不同类的人脸识别算法。
若人脸识别成功,则确定该指纹图像为真实的指纹图像,以执行相应的操 作,例如执行指纹识别成功的权限操作,如通过关卡等,或生成指纹识别成功的记录等,本发明实施例对此不作具体限定。
若人脸识别失败,则确定该指纹图像为伪造的,以执行识别失败的操作,例如发出指纹识别失败的提示,发出警报、进行识别异常记录等。当然,为了提高识别准确率,防止因人脸图像的质量不利于人脸识别时产生误判,人脸识别失败时,可再次获取用户的人脸图像,或者提示用户再次执行指纹获取操作等,本发明实施例对此不作具体限定。
在人脸识别成功后,因该人脸图像与目标人脸模板相匹配,而目标人脸模板与目标指纹模板具有对应关系,该目标指纹模板又与该指纹图像相匹配,从而可得出该人脸图像和指纹图像具有对应关系,例如,在该目标指纹模板和目标人脸模板属于同一用户时,可认为该指纹图像和人脸图像属于同一用户,且目标指纹模板的用户和指纹图像的用户相同。这样,可避免不法用户使用伪造指纹进行指纹识别时会识别通过。
在指纹图像是伪造的时,如在获取一个人的指纹图像后,可以用特殊材料做出假的指纹膜,不法用户就可以利用假指纹膜去做指纹识别,若只是单纯地做指纹识别,此时不法用户可以冒充真实指纹用户的身份,从而获取一些本无法获取的权限,存在很大的安全隐患。但本发明实施的方法,不法用户的人脸图像被指纹防伪设备获取到,即使指纹识别成功,根据人脸模板和指纹模板的对应关系获取到对应的目标人脸模板后,因不法用户没伪造人脸,不法用户的人脸图像与该目标人脸模板不匹配,即人脸识别失败,从而可判断出指纹防伪设备获取到的指纹图像异常,此时可确定该指纹图像为伪造的指纹图像。从而本发明实施例的指纹防伪设备具有了指纹防伪功能。
在有的实施例中,当人脸识别成功时,本发明实施例的方法还包括:
在预先建立的目标指纹模板和目标人脸模板的对应关系中,使用人脸图像替换目标人脸模板。
这样可以及时对目标指纹模板和目标人脸模板的对应关系进行更新,在人脸识别成功后,可确保人脸图像是合法用户的,即该人脸图像的用户和目标指纹模板的用户相同,及时用该人脸图像替换目标人脸图像作为新的人脸模板,即可使得人脸模板和指纹模板的对应关系记录的人脸为较新的人脸,因用户随 着年龄的增长和身体状况的变化而人脸会产生一定的变化,这时,使用较新的人脸作为人脸模板,将能提高后续的人脸识别准确率。此时,人脸图像替换目标人脸模板后,该人脸图像可以图像形式建立该对应关系,也可以以其他的方式,例如人脸特征点等方式,本发明实施例对此不作具体限定。
其中,用户在指纹防伪设备第一次登记时,建立目标指纹模板和目标人脸模板的对应关系后,在后续的人脸图像和指纹图像的获取和识别中,执行使用人脸图像替换目标人脸模板的步骤。也可以是,在获取目标指纹模板以进行登记后,在第一次指纹识别并获取目标指纹模板后,建立目标指纹模板和目标人脸模板的对应关系,然后在后续的人脸图像和指纹图像的获取和识别中,执行使用人脸图像替换目标人脸模板的步骤,本发明实施例的使用人脸图像替换目标人脸模板的步骤可用于多种实施例中,本发明实施例对此不作具体限定。
可选地,使用人脸图像替换目标人脸模板之前,本发明实施例的方法还包括:判断人脸图像的图像质量是否大于预设图像质量阀值;若人脸图像的图像质量大于预设图像质量阀值,则执行使用人脸图像替换目标人脸模板的步骤。
这样就能在使用人脸图像替换目标人脸模板时,对人脸图像进行筛选,保证人脸模板和指纹模板的对应关系中的人脸模板是利于人脸识别的,从而减少了后续人脸识别的错误率。
为了提高人脸识别的准确率,减少误判,在有的实施例中可以是使用多个人脸模板与人脸图像进行比较,例如,上述实施例的方法中,根据预先存储的人脸模板对人脸图像进行人脸识别,具体实现方法可以是,根据预先存储的人脸模板组对人脸图像进行人脸识别,其中人脸模板组包括多张属于同一人的人脸模板;从而,当根据人脸模板组中的至少一张人脸模板对人脸图像进行的人脸识别成功时,确定指纹图像为真实指纹图像。
在有的实施例中,目标指纹模板和目标人脸模板的对应关系,可以是目标指纹模板和多张目标人脸模板的对应关系,该多张目标人脸模板属于同一用户。从而步骤203中,获取与目标指纹模板对应的目标人脸模板,包括,获取与目标指纹模板对应的多张目标人脸模板。在后续的人脸识别步骤中,使用至少一张该目标人脸模板对人脸图像进行的人脸识别成功,则可确定指纹图像为真实指纹图像。其中,多张是指两张或大于两张,即至少两张。
这样,使用多个同一人的人脸模板对人脸图像进行识别,将能提高人脸识别的准确率。因获取的人脸图像在识别时对质量要求较高,且若指纹防伪设备是以隐蔽地方式获取人脸图像时,对人脸图像的质量可能越得不到保障,此时,使用多张人脸模板对人脸图像进行人脸识别对提高识别准确率尤其有用。
综上所述,在指纹防伪设备上,获取指纹图像,以及在预设触发条件下,控制摄像头获取人脸图像。然后,根据预先存储的人脸模板对人脸图像进行人脸识别。当人脸识别成功时,确定指纹图像为真实指纹图像。这样,指纹图像的真伪根据人脸图像的人脸识别进行检验,因属于同一用户的指纹特征和人脸特征都能对该用户进行唯一的标识,从而可将用户的指纹特征和人脸特征进行关联,若根据预设的人脸模板对人脸图像进行人脸识别成功,这样即起到了检验的作用,从而可确定获取的指纹图像为真实指纹图像。这样,可检测出不法用户伪造的指纹图像。因为不法用户要同时伪造出符合要求的指纹图像和人脸图像才能使得伪造的指纹图像判定为真实,这不容易达到,且指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在设备获取人脸图像时的参与度,这样,进一步减少了伪造人脸图像的机会,从而实现了高效的指纹防伪效果。
图3是根据一示例性实施例示出的一种指纹防伪设备的结构示意图,该设备可用于执行上述图1和图2对应的实施例中的指纹防伪方法。参见图3,该设备包括:
第一获取单元301,用于获取指纹图像;
控制单元302,用于在预设触发条件下,控制摄像头获取人脸图像;
人脸识别单元303,用于根据预先存储的人脸模板对人脸图像进行人脸识别;
确定单元304,用于当人脸识别成功时,确定指纹图像为真实指纹图像。
可选地,
本发明实施例的设备还包括:第二获取单元305,
第二获取单元305,用于当从预先建立的数据库中,查询到与指纹图像匹配的目标指纹模板时,根据指纹模板和人脸模板的对应关系,从数据库中获取与目标指纹模板对应的目标人脸模板,数据库预存有指纹模板和人脸模板的对 应关系;
人脸识别单元303,还用于根据目标人脸模板对人脸图像进行人脸识别。
可选地,
本发明实施例的设备还包括:
替换单元306,用于当人脸识别成功时,在预先建立的目标指纹模板和目标人脸模板的对应关系中,使用人脸图像替换目标人脸模板。
可选地,
本发明实施例的设备还包括:建立单元307,
第一获取单元301,还用于获取目标指纹模板;
控制单元302,还用于在预设触发条件下,控制摄像头获取目标人脸模板;
建立单元307,用于建立目标指纹模板和目标人脸模板的对应关系。
可选地,
本发明实施例的设备还包括指纹识别单元308,
第一获取单元301,还用于获取目标指纹图像;
指纹识别单元308,还用于根据目标指纹模板对目标指纹图像进行指纹识别;
若指纹识别成功,则建立单元307执行建立目标指纹模板和目标人脸模板的对应关系的步骤。
可选地,
本发明实施例的设备还包括:
质量判断单元309,用于判断人脸图像的图像质量是否大于预设图像质量阀值;
若人脸图像的图像质量大于预设图像质量阀值,则替换单元306执行使用人脸图像替换目标人脸模板的步骤。
可选地,指纹防伪设备包括指纹采集器,
控制单元302,还用于当检测到指纹采集器获取指纹图像时,控制摄像头获取人脸图像。
可选地,
人脸识别单元303,还用于根据预先存储的人脸模板组对人脸图像进行人 脸识别,其中人脸模板组包括多张属于同一人的人脸模板;
确定单元304,还用于当根据人脸模板组中的至少一张人脸模板对人脸图像进行的人脸识别成功时,确定指纹图像为真实指纹图像。
综上所述,在指纹防伪设备上,第一获取单元301获取指纹图像,以及控制单元302在预设触发条件下,控制摄像头获取人脸图像。然后,人脸识别单元303根据预先存储的人脸模板对人脸图像进行人脸识别。当人脸识别成功时,确定单元304确定指纹图像为真实指纹图像。这样,指纹图像的真伪根据人脸图像的人脸识别进行检验,因属于同一用户的指纹特征和人脸特征都能对该用户进行唯一的标识,从而可将用户的指纹特征和人脸特征进行关联,若根据预设的人脸模板对人脸图像进行人脸识别成功,这样即起到了检验的作用,从而可确定获取的指纹图像为真实指纹图像。这样,可检测出不法用户伪造的指纹图像。因为不法用户要同时伪造出符合要求的指纹图像和人脸图像才能使得伪造的指纹图像判定为真实,这不容易达到,且指纹防伪设备获取人脸图像要在预设触发条件下才获取,限制了用户在设备获取人脸图像时的参与度,这样,进一步减少了伪造人脸图像的机会,从而实现了高效的指纹防伪效果。
所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,上述描述的系统,装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
在本申请所提供的几个实施例中,应该理解到,所揭露的系统,装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本发明各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述,以上实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (14)

  1. 一种指纹防伪方法,其特征在于,所述方法由指纹防伪设备执行,所述方法包括:
    获取指纹图像;
    在预设触发条件下,控制摄像头获取人脸图像;
    根据预先存储的人脸模板对所述人脸图像进行人脸识别;
    当所述人脸识别成功时,确定所述指纹图像为真实指纹图像。
  2. 根据权利要求1所述的方法,其特征在于,所述根据预先存储的人脸模板对所述人脸图像进行人脸识别之前,所述方法还包括:
    当从预先建立的数据库中,查询到与所述指纹图像匹配的目标指纹模板时,根据指纹模板和人脸模板的对应关系,从所述数据库中获取与所述目标指纹模板对应的目标人脸模板,所述数据库预存有所述指纹模板和人脸模板的对应关系;
    所述根据预先存储的人脸模板对所述人脸图像进行人脸识别,包括:
    根据所述目标人脸模板对所述人脸图像进行人脸识别。
  3. 根据权利要求2所述的方法,其特征在于,当所述人脸识别成功时,所述方法还包括:
    在预先建立的所述目标指纹模板和所述目标人脸模板的对应关系中,使用所述人脸图像替换所述目标人脸模板。
  4. 根据权利要求2所述的方法,其特征在于,所述获取指纹图像之前,所述方法还包括:
    获取所述目标指纹模板;
    在预设触发条件下,控制摄像头获取所述目标人脸模板;
    建立所述目标指纹模板和所述目标人脸模板的对应关系。
  5. 根据权利要求4所述的方法,其特征在于,所述控制摄像头获取所述目标人脸模板之前,所述方法还包括:
    获取目标指纹图像;
    根据所述目标指纹模板对所述目标指纹图像进行指纹识别;
    若所述指纹识别成功,则执行所述建立所述目标指纹模板和所述目标人脸 模板的对应关系的步骤。
  6. 根据权利要求3所述的方法,其特征在于,所述使用所述人脸图像替换所述目标人脸模板之前,所述方法还包括:
    判断所述人脸图像的图像质量是否大于预设图像质量阀值;
    若所述人脸图像的图像质量大于所述预设图像质量阀值,则执行所述使用所述人脸图像替换所述目标人脸模板的步骤。
  7. 根据权利要求1至6任一项所述的方法,其特征在于,所述指纹防伪设备包括指纹采集器,
    所述在预设触发条件下,控制摄像头获取人脸图像,包括:
    当检测到所述指纹采集器获取指纹图像时,控制摄像头获取人脸图像。
  8. 根据权利要求1至6任一项所述的方法,其特征在于,
    所述根据预先存储的人脸模板对所述人脸图像进行人脸识别,包括:
    根据预先存储的人脸模板组对所述人脸图像进行人脸识别,其中所述人脸模板组包括多张属于同一人的人脸模板;
    所述当所述人脸识别成功时,确定所述指纹图像为真实指纹图像,包括:
    当根据所述人脸模板组中的至少一张人脸模板对所述人脸图像进行的人脸识别成功时,确定所述指纹图像为真实指纹图像。
  9. 一种指纹防伪设备,其特征在于,包括:
    第一获取单元,用于获取指纹图像;
    控制单元,用于在预设触发条件下,控制摄像头获取人脸图像;
    人脸识别单元,用于根据预先存储的人脸模板对所述人脸图像进行人脸识别;
    确定单元,用于当所述人脸识别成功时,确定所述指纹图像为真实指纹图像。
  10. 根据权利要求9所述的设备,其特征在于,
    所述设备还包括:
    第二获取单元,用于当从预先建立的数据库中,查询到与所述指纹图像匹配的目标指纹模板时,根据指纹模板和人脸模板的对应关系,从所述数据库中获取与所述目标指纹模板对应的目标人脸模板,所述数据库预存有所述指纹模 板和人脸模板的对应关系;
    所述人脸识别单元,还用于根据所述目标人脸模板对所述人脸图像进行人脸识别。
  11. 根据权利要求10所述的设备,其特征在于,
    所述设备还包括:
    替换单元,用于当所述人脸识别成功时,在预先建立的目标指纹模板和目标人脸模板的对应关系中,使用所述人脸图像替换所述目标人脸模板。
  12. 根据权利要求10所述的设备,其特征在于,
    所述设备还包括:建立单元,
    所述第一获取单元,还用于获取所述目标指纹模板;
    所述控制单元,还用于在预设触发条件下,控制摄像头获取所述目标人脸模板;
    所述建立单元,用于建立所述目标指纹模板和所述目标人脸模板的对应关系。
  13. 根据权利要求9至12任一项所述的设备,其特征在于,所述指纹防伪设备包括指纹采集器,
    所述控制单元,还用于当检测到所述指纹采集器获取指纹图像时,控制摄像头获取人脸图像。
  14. 根据权利要求9至12任一项所述的设备,其特征在于,
    所述人脸识别单元,还用于根据预先存储的人脸模板组对所述人脸图像进行人脸识别,其中所述人脸模板组包括多张属于同一人的人脸模板;
    所述确定单元,还用于当根据所述人脸模板组中的至少一张人脸模板对所述人脸图像进行的人脸识别成功时,确定所述指纹图像为真实指纹图像。
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