WO2016110024A1 - 一种基于眼纹识别的终端解锁方法和装置 - Google Patents
一种基于眼纹识别的终端解锁方法和装置 Download PDFInfo
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- WO2016110024A1 WO2016110024A1 PCT/CN2015/077421 CN2015077421W WO2016110024A1 WO 2016110024 A1 WO2016110024 A1 WO 2016110024A1 CN 2015077421 W CN2015077421 W CN 2015077421W WO 2016110024 A1 WO2016110024 A1 WO 2016110024A1
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- eye pattern
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- terminal
- eye
- pattern information
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 210000001508 eye Anatomy 0.000 claims description 129
- 210000005252 bulbus oculi Anatomy 0.000 claims description 37
- 238000012545 processing Methods 0.000 claims description 24
- 210000000744 eyelid Anatomy 0.000 claims description 17
- 238000003909 pattern recognition Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 6
- 230000001186 cumulative effect Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 230000001815 facial effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000003672 processing method Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Definitions
- This document relates to the field of communication technologies, and in particular, to a terminal unlocking method and apparatus based on eye pattern recognition.
- Locking and unlocking is an important application for smart terminals.
- the locking and unlocking function with strong robustness is of great significance for protecting the privacy of users in intelligent terminals.
- the solution mainly captures the activity track of the user's eyeball, compares the activity track of the user's eyeball with the pre-stored position information, and if the user's eyeball's activity track coincides with the position information, the unlocking operation is performed.
- the information input by the end user for unlocking is not unique, that is, voiceprint, sliding gesture, face They are all available through simulation. Therefore, the existing unlocking method is less secure.
- the embodiment of the invention provides a terminal unlocking method and device based on eye mark recognition, so as to solve the problem that the unlocking mode in the prior art has low security.
- an embodiment of the present invention provides a method for unlocking a terminal based on eye mark recognition, comprising: collecting eyelet information of a user through a terminal sensor; wherein the eyeprint information includes: a position of a user's eyeball The position of the eyelid and the feature of the eye pattern; determining whether the collected eye pattern information is successfully matched with the pre-stored eye pattern information; and when the matching is successful, notifying the terminal system to perform the unlocking operation.
- the method further includes: when the matching is successful, according to the usage collected by the terminal sensor The eyeprint information of the user corrects the pre-stored eyeprint information.
- the method includes: when the matching is unsuccessful, the eye sensor information of the user is re-acquired by the terminal sensor, or the alarm processing is performed according to a preset alarm policy.
- the re-acquisition of the user's eye pattern information by the terminal sensor further includes: accumulating the number of times the user's eye pattern information is re-acquired by the terminal sensor; determining whether the accumulated number of times reaches If the preset number of collection times is reached, the alarm processing is performed according to the preset alarm policy; if the preset collection number threshold is not reached, the user's eye pattern is re-acquired by the terminal sensor. information.
- the collecting, by the terminal sensor, the user's eye pattern information includes: collecting a user's face image through the terminal sensor; determining, in the user's face image, the position of the eye and the position of the eyelid; The position is processed to extract an eyeball region to determine the position of the eyeball; the eyeball image is extracted by processing the eyeball region; and the eyeprint feature is extracted from the eyeprint image based on the Markov model.
- the embodiment of the present invention further provides a terminal unlocking device based on eye mark recognition, comprising: an collecting module, configured to collect eyelet information of a user through a terminal sensor; wherein the eyeprint information comprises: a position of a user's eyeball a determining module, configured to determine whether the collected eyeprint information and the pre-stored eyeprint information are successfully matched; the notification module is configured to notify when the determining module determines that the matching is successful
- the terminal system performs an unlock operation.
- the device further includes a correction module configured to: when the determining module determines that the matching is successful, correct the pre-stored eye pattern information according to the user eye pattern information collected by the terminal sensor.
- the device further includes a re-acquisition and alarm module, configured to: when the determining module determines that the matching is unsuccessful, invoke the collecting module, and re-acquire the user's eye pattern information through the terminal sensor; or execute according to a preset alarm policy. Alarm processing.
- the re-acquisition and alarm module is further configured to: collect the number of times the collection module re-acquires the user's eye-grain information through the terminal sensor; determine whether the accumulated number of times reaches a preset collection number threshold; If the threshold is set, the alarm processing is performed according to the preset alarm policy. If the preset collection threshold is not reached, the collection module is called.
- the end sensor reacquires the user's eye pattern information.
- the collecting module is configured to: collect a user facial image by using a terminal sensor; determine a position of the eye and a position of the eyelid in the user facial image; and extract the position by processing the position of the eye An eyeball region to determine a position of the eyeball; an eyeprint image is extracted by processing the eyeball region; and an eyeprint feature is extracted from the eyeprint image based on a Markov model.
- the embodiment of the present invention further provides a computer readable storage medium, where the storage medium stores a computer program, the computer program includes program instructions, when the program instruction is executed by the terminal device, enabling the device to perform the above-described eye-based pattern The identified terminal unlocking method.
- the embodiment of the present invention pre-stores the eye pattern information of the user; when the user needs to unlock the terminal, triggers the collection of the user's eye pattern information; if the collected eye pattern information matches the stored eye pattern information, the terminal system performs an unlocking operation; , the unlock operation is not performed. Because the eye pattern information is unique, the embodiment of the present invention can increase the security of the terminal unlocking.
- FIG. 1 is a flowchart of a method for unlocking a terminal based on eye pattern recognition according to an embodiment of the present invention
- FIG. 2 is a flow chart showing the steps of storing eyeprint information according to an embodiment of the present invention
- FIG. 3 is a flow chart showing steps of unlocking a terminal based on eye pattern recognition according to an embodiment of the invention
- FIG. 4 is a structural diagram of a terminal unlocking device based on eye pattern recognition according to an embodiment of the present invention.
- the main idea of the embodiment of the present invention is to pre-store the user's eye pattern information; when the user needs to unlock the terminal, trigger the collection of the user's eye pattern information; if the collected eye pattern information matches the stored eye pattern information, the terminal system The unlock operation is performed; otherwise, the unlock operation is not performed.
- Embodiments of the present invention provide a terminal unlocking method based on eye pattern recognition.
- FIG. 1 is a flowchart of a method for unlocking a terminal based on eye pattern recognition according to an embodiment of the present invention.
- Step S110 collecting eyeprint information of the user through the terminal sensor.
- the eye pattern information includes: the position of the user's eyeball, the position of the eyelid, and the eye pattern.
- the terminal sensor can be a terminal external sensor or a terminal built-in sensor.
- the built-in sensor is, for example, a terminal camera.
- the terminal sensor collects image data of the user's eyes, and based on the image processing technology, obtains the position of the user's eyeball, the position of the eyelid, and the eye pattern.
- step S120 it is determined whether the collected eye pattern information and the pre-stored eye pattern information match successfully. If yes, step S130 is performed; if no, step S140 is performed.
- Matching success means that the collected eyeball position is the same as the pre-stored eyeball position, the collected eyelid position is the same as the pre-stored eyelid position, and the acquired eyeprint feature matches the pre-stored eyeprint feature by more than or equal to the preset Match the threshold.
- Unsuccessful matching means that the acquired eyeball position is different from the pre-stored eyeball position, the collected eyelid position is different from the pre-stored eyelid position, or the acquired eyeprint feature matches the pre-stored eyeprint feature. Less than the preset matching threshold.
- Step S130 notifying the terminal system to perform an unlocking operation.
- step S140 the eye sensor information of the user is collected through the terminal sensor, or the alarm processing is performed according to the preset alarm policy.
- the cumulative number of times the user collects the eyeprint information of the user through the terminal sensor determines whether the accumulated number of times reaches the preset number of collection times; if yes, performs alarm processing according to the preset alarm policy; if not, re-passes the terminal sensor
- the user's eye pattern information is collected, that is, step S110 is re-executed.
- the cumulative number of times is 0; when the user's eye pattern information is collected for the second time, the first re-acquisition is started, the cumulative number of times is 1; the third time collecting the user When the eye pattern information is started, the second re-acquisition is started, and the cumulative number of times is 2.
- the alarm processing is performed according to the preset alarm policy, including: pre-configuring an alarm policy including an alarm processing method; and executing the alarm processing method when the accumulated number of times reaches the collection threshold.
- the alarm processing method includes, but is not limited to, prompting the user to unlock the terminal within a preset time period; automatically sending information to the preset contact that the terminal is illegally unlocked; issuing an alarm prompt tone; deleting the current unlocking in the terminal system Data collected.
- the terminal is an intelligent terminal.
- FIG. 2 is a flow chart showing the steps of storing eyeprint information according to an embodiment of the present invention.
- step S210 the user selects registration eye pattern information in the smart terminal.
- the number of users who register eyeprint information in the smart terminal may be plural.
- the number of users allowed to be registered is set by the owner of the smart terminal. These users who register eye tracking information are legitimate users who can unlock the smart terminal.
- step S220 the user's face image is obtained by calling the smart terminal camera.
- the smart terminal captures one or more user facial images through the camera; during the shooting process, the camera maintains a certain distance from the user, and the camera uses different exposure brightness to shoot.
- the distance between the camera and the user's face is 20 cm to 50 cm.
- Step S230 analyzing the user's eye pattern information based on the user's face image.
- the user's eye pattern information can be obtained.
- Step 1 In the user's face image, determine the position of the user's eyes and the position of the user's eyelids. Specifically, the position of the user's eyes and the position of the user's eyelids can be determined in the user's face image by the face detection and the human eye detection algorithm. Such as the outline of the eyelids.
- step 2 the position of the eye is processed, and the eyeball area is extracted to determine the position of the eyeball.
- the image segmentation algorithm may be used to process the position of the user's eyes, extract the user's eyeball region, and determine the position of the user's eyeball; such as the contour of the two eyeballs and the distance between the two eyeballs.
- step 3 the eyeball area is processed to extract an eye pattern image.
- the user's eyeball region may be binarized to extract the user's eyeprint image.
- step 4 based on the Markov model, the eye pattern feature is extracted from the user's eye pattern image.
- the image processing result in accordance with the image selection condition is selected as the eye pattern information.
- the image selection condition is a criterion for selecting an image to conform to in order to select an appropriate image to obtain eye contour information. Specific image selection conditions can be set as needed. For example, the brightness of the image is in the preset brightness range, so that the image cannot be too dark or too bright.
- step S240 the eye pattern information is stored in a local database of the smart terminal.
- the purpose of setting access rights is to enable the terminal owner to read and write the eye pattern information, and other users other than the owner cannot read and write the eye pattern information, thereby ensuring that the eye pattern information is not illegally falsified. Increase the security of the terminal.
- FIG. 3 is a flow chart showing the steps of unlocking a terminal based on eye pattern recognition according to an embodiment of the invention.
- Step S310 triggering the smart terminal to unlock the task.
- the smart terminal unlocking task is started by the user's operation. This operation is, for example, clicking a preset button.
- Step S320 obtaining a user face image by calling a camera of the smart terminal.
- Step S330 analyzing the user's eye pattern information based on the user's face image.
- steps S320 and S330 For specific implementations of steps S320 and S330, steps S220 and S230 may be referred to, respectively.
- step S340 the analyzed eye pattern information is matched in the local database of the smart terminal.
- Step S350 determining whether there is eye pattern information matching the analyzed eye pattern information in the local database. If yes, go to step S360; if no, go to step S370.
- step S360 the smart terminal system performs an unlocking operation.
- the unlocking may be performed according to the current unlocking.
- the eye pattern information corrects the eye pattern in the local database, increases the correctness of the stored eye pattern information, and reduces the failure rate of the user's eye pattern information matching.
- step S370 the smart terminal system does not perform the unlocking operation, and the number of times is accumulated.
- step S380 it is determined whether the current accumulated number of times reaches the collection number threshold. If yes, step S390 is performed. If no, step S320 is performed.
- the user may also be prompted to have an eye pattern information error, please re-collect the eye pattern information.
- Step S390 sending alarm information to the preset contact.
- the embodiment of the invention further provides a terminal unlocking device based on eye pattern recognition.
- the device is arranged with the terminal, including the processor and the program storage device.
- 4 is a structural diagram of a terminal unlocking device based on eye pattern recognition according to an embodiment of the present invention.
- the device includes:
- the collecting module 410 is adapted to collect the user's eye pattern information through the terminal sensor.
- the eye pattern information includes: the position of the user's eyeball, the position of the eyelid, and the eye pattern.
- the determining module 420 is adapted to determine whether the collected eye pattern information and the pre-stored eye pattern information are successfully matched.
- the notification module 430 is adapted to notify the terminal system to perform the unlocking operation if the determining module 420 determines that the collected eye pattern information matches the pre-stored eye pattern information.
- the re-acquisition and alarm module 440 is adapted to, when the determining module 420 determines that the collected eye pattern information does not match the pre-stored eye pattern information, invoke the collecting module 410 to re-acquire the user's eye pattern information through the terminal sensor; or The alarm processing is performed according to the preset alarm policy.
- the re-acquisition and alarm module 440 is also applicable to the cumulative call collection module 410 to re-transmit through the terminal.
- the apparatus further includes a correction module (not shown) adapted to correct the pre-stored eye pattern information based on the terminal sensor collecting the user's eye pattern information if the matching is successful.
- a correction module (not shown) adapted to correct the pre-stored eye pattern information based on the terminal sensor collecting the user's eye pattern information if the matching is successful.
- the apparatus further includes a setting module (not shown) adapted to set an access right for the eye pattern information when the eye pattern information is stored in advance.
- a setting module (not shown) adapted to set an access right for the eye pattern information when the eye pattern information is stored in advance.
- the method for unlocking the terminal based on the eyeprint recognition provided by the embodiment of the present invention by pre-storing the eyeprint information of the user, when the user needs to unlock the terminal, triggering the terminal to collect the eyeprint information of the user, according to the collected eyeprint information and the stored Whether the eye pattern information matches, and whether to perform an unlocking operation. Since the eye pattern information is unique, the security of the terminal unlocking can be increased.
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Abstract
一种基于眼纹识别的终端解锁方法和装置。该方法包括：通过终端传感器，采集用户的眼纹信息；判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功；当匹配成功时，通知终端系统执行解锁操作。本发明实施例预先存储用户的眼纹信息，在用户需要解锁终端时，触发用户眼纹信息的采集，如果采集的眼纹信息和已存储的眼纹信息匹配，则终端系统执行解锁操作；反之，则不执行解锁操作。由于眼纹信息具有唯一性，因此可以增加终端解锁的安全性。
Description
本文涉及通信技术领域，特别是涉及一种基于眼纹识别的终端解锁方法和装置。
锁定和解锁是智能终端的一个重要应用。具备较强鲁棒性的锁定、解锁功能，对于保护智能终端中用户的个人隐私具有重要意义。
目前，智能终端的解锁方式很多，包括：声纹识别检测、滑动解锁、以及人脸检测和识别解锁等。
在相关技术中，还有一种采用眼球信息的解锁方案。该方案主要是捕捉用户眼球的活动轨迹，将用户眼球的活动轨迹与预先存储的位置信息进行比对，如果用户眼球的活动轨迹与位置信息吻合，则执行解锁操作。
但是，无论是声纹识别检测、滑动解锁、人脸检测和识别解锁，还是眼球轨迹解锁，最终用户输入的用于解锁的信息都不具有唯一性，也即是声纹、滑动手势、人脸都是可以通过模拟获得。因此，现有的解锁方式的安全性较低。
发明内容
本发明实施例提供一种基于眼纹识别的终端解锁方法和装置，以解决现有技术中的解锁方式安全性较低的问题。
为解决上述技术问题，本发明实施例提供了一种基于眼纹识别的终端解锁方法，包括：通过终端传感器，采集用户的眼纹信息；其中，所述眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征；判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功；当匹配成功时，通知终端系统执行解锁操作。
其中，所述方法还包括：当匹配成功时，根据终端传感器采集的所述用
户的眼纹信息，对所述预先存储的眼纹信息进行修正。
其中，所述方法包括：当匹配不成功时，通过终端传感器重新采集所述用户的眼纹信息，或者根据预设的告警策略，执行告警处理。
其中，所述当匹配不成功时，通过终端传感器重新采集所述用户的眼纹信息，还包括：累计通过终端传感器重新采集所述用户的眼纹信息的次数；判断累计的所述次数是否达到预设的采集次数阈值；如果达到预设的采集次数阈值，则根据预设的告警策略，执行告警处理；如果没有达到预设的采集次数阈值，则通过终端传感器重新采集所述用户的眼纹信息。
其中，所述通过终端传感器，采集用户的眼纹信息，包括：通过终端传感器采集用户脸部图像；在所述用户脸部图像中，确定眼睛的位置和眼睑的位置；通过对所述眼睛的位置进行处理，提取出眼球区域，以确定眼球的位置；通过对所述眼球区域进行处理，提取出眼纹图像；基于马尔科夫模型，从所述眼纹图像中提取出眼纹特征。
本发明实施例还提供了一种基于眼纹识别的终端解锁装置，包括：采集模块，设置为通过终端传感器，采集用户的眼纹信息；其中，所述眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征；判断模块，设置为判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功；通知模块，设置为当所述判断模块判定匹配成功时，通知终端系统执行解锁操作。
其中，所述装置还包括修正模块，设置为当所述判断模块判定匹配成功时，根据终端传感器采集的用户眼纹信息，对所述预先存储的眼纹信息进行修正。
其中，所述装置还包括重采和告警模块，设置为当所述判断模块判定匹配不成功时，调用采集模块，通过终端传感器重新采集用户的眼纹信息；或者根据预设的告警策略，执行告警处理。
其中，所述重采和告警模块，还设置为：累计调用采集模块通过终端传感器重新采集用户的眼纹信息的次数；判断累计的所述次数是否达到预设的采集次数阈值；如果达到预设的采集次数阈值，则根据预设的告警策略，执行告警处理；如果没有达到预设的采集次数阈值，则调用采集模块，通过终
端传感器重新采集用户的眼纹信息。
其中，所述采集模块，是设置为：通过终端传感器采集用户脸部图像；在所述用户脸部图像中，确定眼睛的位置和眼睑的位置；通过对所述眼睛的位置进行处理，提取出眼球区域，以确定眼球的位置；通过对所述眼球区域进行处理，提取出眼纹图像；基于马尔科夫模型，从所述眼纹图像中提取出眼纹特征。
本发明实施例还提供一种计算机可读存储介质，所述存储介质存储有计算机程序，该计算机程序包括程序指令，当该程序指令被终端设备执行时，使得该设备可执行上述的基于眼纹识别的终端解锁方法。
本发明实施例的有益效果如下：
本发明实施例预先存储用户的眼纹信息；在用户需要解锁终端时，触发用户眼纹信息的采集；如果采集的眼纹信息和已存储的眼纹信息匹配，则终端系统执行解锁操作；反之，则不执行解锁操作。由于眼纹信息具有唯一性，因此本发明实施例可以增加终端解锁的安全性。
附图概述
图1是根据本发明一实施例的基于眼纹识别的终端解锁方法的流程图；
图2是根据本发明一实施例的眼纹信息存储的步骤流程图；
图3是根据本发明一实施例的基于眼纹识别的终端解锁的步骤流程图；
图4是根据本发明一实施例的基于眼纹识别的终端解锁装置的结构图。
本发明的较佳实施方式
本发明实施例的主要思想在于，预先存储用户的眼纹信息；在用户需要解锁终端时，触发用户眼纹信息的采集；如果采集的眼纹信息和已存储的眼纹信息匹配，则终端系统执行解锁操作；反之，则不执行解锁操作。
因为，人的眼纹信息具备独一性，而且眼纹识别不受环境因素的干扰，
信息采集也非常方便，所以，眼纹识别的准确率较高，可以增加终端的安全性。
以下结合附图以及实施例，对本发明实施例进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不限定本发明。
本发明实施例提供了一种基于眼纹识别的终端解锁方法。如图1所示，图1是根据本发明一实施例的基于眼纹识别的终端解锁方法的流程图。
步骤S110，通过终端传感器，采集用户的眼纹信息。
眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征。
终端传感器可以是终端外置传感器，也可以是终端内置传感器。内置传感器例如是终端摄像头。
终端传感器采集用户眼睛的图像数据，基于图像处理技术，获得用户的眼球的位置、眼睑的位置、以及眼纹特征。
步骤S120，判断采集的眼纹信息与预先存储的眼纹信息是否匹配成功。如果是，则执行步骤S130；如果否，则执行步骤S140。
匹配成功是指：采集的眼球位置与预先存储的眼球位置相同，采集的眼睑位置与预先存储的眼睑位置相同，且采集的眼纹特征与预先存储的眼纹特征的吻合度大于等于预设的匹配阈值。
匹配不成功(匹配失败)是指：采集的眼球位置与预先存储的眼球位置不同、采集的眼睑位置与预先存储的眼睑位置不同、或者采集的眼纹特征与预先存储的眼纹特征的吻合度小于预设的匹配阈值。
步骤S130，通知终端系统执行解锁操作。
步骤S140，重新通过终端传感器，采集用户的眼纹信息，或者根据预设的告警策略，执行告警处理。
累计重新通过终端传感器采集用户的眼纹信息的次数；判断累计的次数是否达到预设的采集次数阈值；如果是，则根据预设的告警策略，执行告警处理；如果否，则重新通过终端传感器，采集用户的眼纹信息，即重新执行步骤S110。
具体地，在第一次采集用户眼纹信息时，该累计次数为0；第二次采集用户眼纹信息时，即开始进行第一次重新采集，该累计次数为1；第三次采集用户眼纹信息时，即开始进行第二次重新采集，该累计次数为2。
根据预设的告警策略，执行告警处理，包括：预先配置包含告警处理方法的告警策略；在累计次数达到采集次数阈值时，执行该告警处理方法。其中，告警处理方法包括但不限于：提示用户在预设时间段内不能进行终端解锁；自动向预设联系人发送终端被非法解锁的信息；发出告警提示音；删除终端系统中本次解锁时采集的数据。
下面给出一个本发明的具体应用实例。本实施例中，终端为智能终端。
先对终端中预先存储的眼纹信息的来源进行说明。图2为根据本发明一实施例的眼纹信息存储的步骤流程图。
步骤S210，用户在智能终端中选择注册眼纹信息。
在智能终端中注册眼纹信息的用户个数可以是多个。允许注册的用户数量由智能终端的归属者来设置。这些注册眼纹信息的用户都为能够解锁智能终端的合法用户。
步骤S220，通过调用智能终端摄像头，获得用户脸部图像。
智能终端通过摄像头拍摄一张或多张用户脸部图像；在拍摄过程中，摄像头与用户保持一定距离，并且摄像头使用不同的曝光亮度进行拍摄。本实施例较佳地，摄像头与用户脸部保持的距离为20cm至50cm。
步骤S230，基于用户脸部图像，分析出用户的眼纹信息。
通过对一张或多张用户脸部图像进行图像处理，综合图像处理结果，即可得到用户的眼纹信息。
针对每张图片执行以下步骤：
步骤1，在用户脸部图像中，确定用户眼睛的位置和用户眼睑的位置。具体地，可以通过人脸检测和人眼检测算法，在用户脸部图像中，确定用户眼睛的位置和用户眼睑的位置。如眼睑的轮廓线。
步骤2，对所述眼睛的位置进行处理，提取出眼球区域，以确定眼球的位置。具体地，可以采用图像分割算法对用户眼睛的位置进行处理，提取出用户眼球区域，确定用户眼球的位置；如两个眼球的轮廓及两个眼球之间的距离。
步骤3，对所述眼球区域进行处理，提取出眼纹图像。具体地，可以对用户眼球区域进行二值化处理，提取出用户眼纹图像。
步骤4，基于马尔科夫模型，从用户眼纹图像中提取出眼纹特征。
如果拍摄的用户脸部图像为多张，则选择符合图像选择条件的图像处理结果作为眼纹信息。图像选择条件是选择图像需要符合的标准，以便选择合适的图像来得到眼纹信息。具体的图像选择条件可以根据需要来设置。例如：图像的亮度处于预设的亮度区间，使图像不能过暗，也不能过亮。
步骤S240，将眼纹信息存储在智能终端的本地数据库中。
在存储眼纹信息时，对眼纹信息设置访问权限。设置访问权限的目的在于，使终端归属者可以读取、写入眼纹信息，而归属者之外的其他用户则不能读取、写入眼纹信息，进而保证眼纹信息不被非法篡改，增加终端的安全性。
当用户希望解锁终端时，通过终端中存储的眼纹信息，对用户身份进行验证，验证通过则解锁终端，验证不通过则不解锁终端。图3为根据本发明一实施例的基于眼纹识别的终端解锁的步骤流程图。
步骤S310，触发智能终端解锁任务。
通过用户的操作来启动智能终端解锁任务。该操作例如是点击预设的按钮。
步骤S320，通过调用智能终端的摄像头，获得用户面部图像。
步骤S330，基于用户脸部图像，分析出用户的眼纹信息。
步骤S320和S330的具体实现方式，可以分别参照步骤S220和S230。
步骤S340，将分析出的眼纹信息在智能终端的本地数据库中进行匹配。
步骤S350，判断本地数据库中是否存在与分析出的眼纹信息相匹配的眼纹信息。如果是，则执行步骤S360；如果否，则执行步骤S370。
步骤S360，智能终端系统执行解锁操作。
在一个实施例中，因为即便是眼纹信息匹配成功，分析出的眼纹特征和本地数据库中存储的眼纹特征还存在吻合度的问题，所以，智能终端解锁后，可以根据本次解锁采集的眼纹信息对本地数据库中的眼纹进行修正，增加存储的眼纹信息的正确性，降低用户眼纹信息匹配的失败率。
步骤S370，智能终端系统不执行解锁操作，并且进行次数累计。
步骤S380，判断当前累计次数是否达到采集次数阈值。若是，则执行步骤S390。若否，则执行步骤S320。
在该过程中，还可以提示用户眼纹信息错误，请重新采集眼纹信息。
步骤S390，向预设联系人发送告警信息。
本发明实施例还提供了一种基于眼纹识别的终端解锁装置。该装置被设置与终端中，包括处理器和程序存储设备。图4为根据本发明一实施例的基于眼纹识别的终端解锁装置的结构图。
该装置包括：
采集模块410，适用于通过终端传感器，采集用户的眼纹信息。眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征。
判断模块420，适用于判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功。
通知模块430，适用于在判断模块420判定采集的眼纹信息与预先存储的眼纹信息匹配的情况下，通知终端系统执行解锁操作。
重采和告警模块440，适用于在判断模块420判定采集的眼纹信息与预先存储的眼纹信息不匹配的情况下，调用采集模块410，重新通过终端传感器，采集用户的眼纹信息；或者根据预设的告警策略，执行告警处理。
重采和告警模块440，还适用于累计调用采集模块410重新通过终端传
感器采集用户的眼纹信息的次数；判断累计的所述次数是否达到预设的采集次数阈值；如果是，则根据预设的告警策略，执行告警处理；如果否，则再次调用采集模块，重新通过终端传感器，采集用户的眼纹信息。
在一个实施例中，装置还包括修正模块(未示出)，适用于在匹配成功的情况下，根据终端传感器采集用户的眼纹信息，对预先存储的眼纹信息进行修正。
在另一实施例中，装置还包括设置模块(未示出)，适用于在预先存储眼纹信息时，为所述眼纹信息设置访问权限。
本实施例所述的装置的功能已经在图1-3所示的方法实施例中进行了描述，故本实施例的描述中未详尽之处，可以参见前述实施例中的相关说明，在此不做赘述。
本领域普通技术人员可以理解上述方法中的全部或部分步骤可通过程序来指令相关硬件完成，所述程序可以存储于计算机可读存储介质中，如只读存储器、磁盘或光盘等。可选地，上述实施例的全部或部分步骤也可以使用一个或多个集成电路来实现。相应地，上述实施例中的各模块/单元可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。本发明不限制于任何特定形式的硬件和软件的结合。
当然，本发明还可有其他多种实施例，在不背离本发明精神及其实质的情况下，熟悉本领域的技术人员当可根据本发明作出各种相应的改变和变形，但这些相应的改变和变形都应属于本发明的权利要求的保护范围。
本发明实施例提供的基于眼纹识别的终端解锁方法，通过预先存储用户的眼纹信息，在用户需要解锁终端时，触发终端对用户眼纹信息的采集，根据采集的眼纹信息和已存储的眼纹信息是否匹配，确定是否执行解锁操作。由于眼纹信息具有唯一性，因此可以增加终端解锁的安全性。
Claims (11)
- 一种基于眼纹识别的终端解锁方法，包括：通过终端传感器，采集用户的眼纹信息；其中，所述眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征；判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功；当匹配成功时，通知终端系统执行解锁操作。
- 如权利要求1所述的方法，还包括：当匹配成功时，根据终端传感器采集的用户眼纹信息，对所述预先存储的眼纹信息进行修正。
- 如权利要求1所述的方法，还包括：当匹配不成功时，通过终端传感器重新采集所述用户的眼纹信息，或者根据预设的告警策略，执行告警处理。
- 如权利要求3所述的方法，还包括：累计通过终端传感器重新采集所述用户的眼纹信息的次数；判断累计的次数是否达到预设的采集次数阈值；如果达到预设的采集次数阈值，则根据预设的告警策略，执行告警处理；如果没有达到预设的采集次数阈值，则通过终端传感器重新采集用户的眼纹信息。
- 如权利要求1-4中任一项所述的方法，其中，所述通过终端传感器，采集用户的眼纹信息，包括：通过终端传感器采集用户脸部图像；在所述用户脸部图像中，确定眼睛的位置和眼睑的位置；通过对所述眼睛的位置进行处理，提取出眼球区域，以确定眼球的位置；通过对所述眼球区域进行处理，提取出眼纹图像；基于马尔科夫模型，从所述眼纹图像中提取出眼纹特征。
- 一种基于眼纹识别的终端解锁装置，包括：采集模块，设置为通过终端传感器，采集用户的眼纹信息；其中，所述眼纹信息包括：用户的眼球的位置、眼睑的位置、以及眼纹特征；判断模块，设置为判断采集的所述眼纹信息与预先存储的眼纹信息是否匹配成功；通知模块，设置为当所述判断模块判定匹配成功时，通知终端系统执行解锁操作。
- 如权利要求6所述的装置，还包括修正模块，设置为当所述判断模块判定匹配成功时，根据终端传感器采集的用户眼纹信息，对所述预先存储的眼纹信息进行修正。
- 如权利要求6所述的装置，还包括重采和告警模块，设置为当所述判断模块判定匹配不成功时，调用采集模块，通过终端传感器重新采集用户的眼纹信息；或者根据预设的告警策略，执行告警处理。
- 如权利要求8所述的装置，其中，所述重采和告警模块，还设置为：累计调用采集模块通过终端传感器重新采集用户的眼纹信息的次数；判断累计的所述次数是否达到预设的采集次数阈值；如果达到预设的采集次数阈值，则根据预设的告警策略，执行告警处理；如果没有达到预设的采集次数阈值，则调用采集模块，通过终端传感器重新采集用户的眼纹信息。
- 如权利要求6-9中任一项所述的装置，其中，所述采集模块，是设置为：通过终端传感器采集用户脸部图像；在所述用户脸部图像中，确定眼睛的位置和眼睑的位置；通过对所述眼睛的位置进行处理，提取出眼球区域，以确定眼球的位置；通过对所述眼球区域进行处理，提取出眼纹图像；基于马尔科夫模型，从所述眼纹图像中提取出眼纹特征。
- 一种计算机可读存储介质，所述存储介质存储有计算机程序，该计算机程序包括程序指令，当该程序指令被终端设备执行时，使得该设备可执行权利要求1-5任一项的方法。
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| WO2016110061A1 (zh) | 2016-07-14 |
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