CN110298944B - Vein unlocking method and vein unlocking device - Google Patents
Vein unlocking method and vein unlocking device Download PDFInfo
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- CN110298944B CN110298944B CN201910512770.7A CN201910512770A CN110298944B CN 110298944 B CN110298944 B CN 110298944B CN 201910512770 A CN201910512770 A CN 201910512770A CN 110298944 B CN110298944 B CN 110298944B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
- G07C9/00912—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses for safes, strong-rooms, vaults or the like
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/14—Vascular patterns
Abstract
The embodiment of the invention provides a vein unlocking method and a vein unlocking device, which comprise the following steps: receiving an unlocking request of a user; in response to the unlocking request, informing the wearable device to acquire N vein images; receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images; extracting a first regional feature and a first local feature of the first target vein image; detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic; if the user identity is legal, executing unlocking operation; the vein unlocking method can improve the use safety, has strong flexibility and is suitable for multiple occasions.
Description
Technical Field
The invention relates to the field of biological feature recognition, in particular to a vein unlocking method and a vein unlocking device.
Background
The existing unlocking method is generally based on a physical lock, a coded lock and a fingerprint lock, however, the physical lock is easy to lose and be stolen, the safety of the coded lock is not high, the fingerprint has the characteristics of uniqueness, stability, usability and the like, the application is increasingly wide, but the fingerprint is easy to forge, so that the safety of the fingerprint lock is not high, and the unlocking method cannot meet the requirement in the situation of high safety requirement.
Disclosure of Invention
The embodiment of the invention provides a vein unlocking method and a vein unlocking device, which are used for comparing the regional characteristics and the local characteristics of a first target vein image to obtain a comparison result and determining whether to unlock based on the comparison result, so that the safety and the unlocking efficiency are effectively improved.
A first aspect of an embodiment of the present invention provides a vein unlocking method, which is applied to an electronic device, where the electronic device is in communication connection with a wearable device, and the method includes:
receiving an unlocking request of a user:
responding to the unlocking request, and informing the wearable device to collect N vein images, wherein N is a positive integer greater than 2;
receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images;
extracting a first regional feature and a first local feature of the first target vein image, wherein the first regional feature is a feature of the whole structure of a vein, and the first local feature is a feature of a local part of the vein;
detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic;
and if the user identity is legal, executing unlocking operation.
It can be seen that through extracting and comparing the features of the vein image, whether the vein image is operated by the user is determined, and then unlocking is performed, so that the use safety is improved, and the vein image unlocking device is multiple in application occasions and high in flexibility.
A second aspect of an embodiment of the present invention provides a vein unlocking device, including:
the communication unit is used for informing the wearable device to collect N vein images after receiving an unlocking request of a user, and receiving the N vein images from the wearable device;
and the processing unit is used for generating a first target vein image according to the N vein images, extracting a first regional characteristic and a first local characteristic of the first target vein image, detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic, and executing unlocking operation if the user identity is legal.
It can be seen that through extracting and comparing the features of the vein image, whether the vein image is operated by the user is determined, and then unlocking is performed, so that the use safety is improved, and the vein image unlocking device is multiple in application occasions and high in flexibility.
A third aspect of embodiments of the present invention provides an electronic device, comprising a processor, a memory, a communication interface, and one or more programs, stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method according to any of the first aspects.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of the first aspects.
A fifth aspect of embodiments of the present invention provides a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer operable to cause a computer to perform some or all of the steps of any one of the first aspects.
It can be seen that, in the embodiment of the application, after receiving an unlocking request of a user, an electronic device notifies the wearable device to acquire N vein images in response to the unlocking request; receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images; extracting a first regional feature and a first local feature of the first target vein image; detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic; and if the user identity is legal, executing unlocking operation. Therefore, the vein image is subjected to feature extraction and comparison, so that whether the vein image is operated by the user is determined, unlocking is performed, the use safety is improved, and the vein image unlocking device is suitable for multiple occasions and high in flexibility.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a vein unlocking method provided in an embodiment of the present application;
FIG. 2 is an interactive illustration of vein unlocking according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an electronic device according to the present invention;
fig. 4 is a schematic structural diagram of a vein unlocking device provided in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The appearances of the phrases "first," "second," and "third," or the like, in the specification, claims, and figures are not necessarily all referring to the particular order in which they are presented. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1 first, fig. 1 is a schematic flowchart of a vein unlocking method provided in an embodiment of the present application, where the vein unlocking method is applied to an electronic device, and the electronic device is in communication connection with a wearable device, and the method includes:
101. the electronic device receives an unlocking request of a user.
The electronic device can be a mobile phone, a tablet, a notebook computer, a handheld computer or other electronic devices capable of being used for communication, when a user approaches an unlocking target, the user can directly send an explicit unlocking request to the electronic device, or when the distance between the wearable device and the unlocking target is within a preset unlocking range and the unlocking target is in a locked state, the electronic device inquires whether the user unlocks the unlocking target in a voice mode, and if a reply of determining unlocking by the user is received, the unlocking request of the user for the unlocking target is received.
102. And the electronic equipment responds to the unlocking request and informs the wearable equipment to acquire N vein images, wherein N is a positive integer greater than 2.
Wherein, the wearable device is equipped with an infrared micro camera which can emit infrared light to irradiate a target area, the wavelength of the infrared light is 850nm, after hemoglobin in blood absorbs the infrared light, a blood vessel part is more prominent, thereby image acquisition can be carried out on veins, the collected vein parts can comprise a wrist vein, a hand dorsal vein and a finger vein, taking the wrist vein as an example, the wearable device emits infrared light within a preset time such as 3s, a user moves the wearable device from the wrist to the top for a certain distance, the wearable device acquires N vein images during the moving process, taking the finger vein as an example, after the wearable device emits infrared light, the user can move the wearable device around a ring for a certain angle or from a fingertip to a finger root for a certain distance (operation is carried out according to the preset mode of the user), during the process, the wearable device collects N consecutive images of the vein.
103. The electronic device receives the N vein images from the wearable device and generates a first target vein image according to the N vein images.
The wearable device sends the vein images to the electronic device after acquiring the N continuous vein images, and the electronic device performs fusion processing on the N vein images to obtain a complete vein image of a vein part, namely a first target vein image.
104. The electronic equipment extracts a first regional feature and a first local feature of the first target vein image, wherein the first regional feature is a feature of the whole structure of the vein, and the first local feature is a feature of the local part of the vein.
The regional characteristics describe the overall shape, texture and color of the vein, the regional characteristics are the characteristics of the overall structure of the vein, the local characteristics are the local characteristics of the vein, and the characteristic extraction method can be selected from the following methods: LBP, ORB, surf, Sift, Harris.
105. And the electronic equipment detects whether the user identity is legal or not according to the first regional characteristic and the first local characteristic.
The electronic equipment records a complete and clear vein image of a user in advance, and extracts a region feature template and a local feature template according to the vein image, wherein the local feature template comprises a cross point feature template, an endpoint feature template and a curvature feature template.
106. And if the user identity is legal, the electronic equipment executes unlocking operation.
Among them, there may be a plurality of unlocking targets, for example: the unlocking method comprises the steps that an unlocking target is associated with electronic equipment in various forms such as a vehicle door lock, a room door lock or a safe box lock, information interaction is carried out between the unlocking target and the electronic equipment through short-distance communication modes such as Bluetooth/ZigBee/wifi/UWB, when the electronic equipment executes unlocking operation, the electronic equipment generates an unlocking instruction, the unlocking instruction is sent to the unlocking target through communication modes such as Bluetooth/ZigBee/wifi// UWB, the unlocking target is unlocked after receiving the unlocking instruction, and information of successful unlocking is sent to the electronic equipment after unlocking is successful.
It can be seen that, in the embodiment of the application, after receiving an unlocking request of a user, an electronic device notifies the wearable device to acquire N vein images in response to the unlocking request; receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images; extracting a first regional feature and a first local feature of the first target vein image; detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic; and if the user identity is legal, executing unlocking operation. Therefore, the vein image is subjected to feature extraction and comparison, so that whether the vein image is operated by the user is determined, unlocking is performed, the use safety is improved, and the vein image unlocking device is suitable for multiple occasions and high in flexibility.
In one possible example, the first local feature includes a first feature, a second feature and a third feature, and the detecting whether the user identity is legitimate according to the first regional feature and the first local feature includes: the electronic equipment compares the first region characteristic with a pre-stored region characteristic template to obtain a first similarity; comparing the first characteristic with a pre-stored first characteristic template to obtain a second similarity, comparing the second characteristic with a pre-stored second characteristic template to obtain a third similarity, and comparing the third characteristic with a pre-stored third characteristic template to obtain a fourth similarity, wherein the first characteristic refers to the characteristic of a vein intersection point, the second characteristic refers to the characteristic of a vein endpoint, and the third characteristic refers to the characteristic of vein curvature; calculating the overall similarity according to the first similarity, the second similarity, the third similarity and the fourth similarity; and comparing the overall similarity with a preset threshold to obtain a comparison result, and judging whether the user identity is legal or not according to the comparison result.
The first characteristic template is a cross point characteristic template, the second characteristic template is an end point characteristic template, and the third characteristic template is a curvature characteristic template. Different local features have different labels, corresponding local features are extracted based on the labels and compared to obtain the similarity of each local feature, certain weights are respectively given to the local features and the local features according to the importance of the local features and the local features, and the overall similarity is obtained by calculation according to the similarity, for example, the weights are respectively given to the local features, the vein intersection point features, the vein endpoint features and the vein curvature features: 20%, 30%, 30%, 20%, and the first similarity, the second similarity, the third similarity and the fourth similarity are a, b, c, d, respectively, then the overall similarity T is: and T is 20% a + 30% b + 30% c + 20% d, then the overall similarity T is compared with a preset threshold S, if T > S, the user identity is matched, and if T < S, the user identity is not matched, and the user identity is illegal.
It can be seen that different weights are given to the regional features and the local features, and the different weights represent different importance degrees of the features, so that the overall similarity is calculated according to the weights and the similarity, and the similarity of the vein images can be expressed more accurately.
In one possible example, the comparing the first feature with a pre-stored first feature template to obtain a second similarity, comparing the second feature with a pre-stored second feature template to obtain a third similarity, and comparing the third feature with a pre-stored third feature template to obtain a fourth similarity includes: the electronic equipment respectively endows a first feature point, a second feature point and a third feature point with labels, wherein the first feature point corresponds to the first feature, the second feature point corresponds to the second feature, and the third feature point corresponds to the third feature; the electronic equipment performs circular image interception on the first target vein image according to P equal-diameter different circle centers to obtain P circular vein area images, wherein P is an integer larger than 3; the electronic equipment respectively analyzes the distribution of the first characteristic points, the second characteristic points and the third characteristic points in the P circular vein area images according to the labels; the electronic equipment selects Q first target circular vein area images Q from the P circular vein area images respectivelya1，Qa2，，，QaqQ second target circular vein region images Qb1， Qb2，，，QbqAnd Q third target circular vein region images Qc1，Qc2，，，QcqQ is an integer less than P; the electronic device divides each of the Q first target circular vein region images, the Q second target circular vein region images, and the Q third target circular vein region images into MThe ring width is the same; the electronic equipment is according to Qa1，Qa2，，，Qaq，Qb1，Qb2，，， Qbq，Qc1，Qc2，，，QcqSequentially selecting images, and sequentially matching the M rings with pre-stored first, second and third characteristic templates to obtain a matching value of the selected images, starting from the ring with the smallest radius in the M rings of the selected images; the electronic device obtains the second similarity according to the Q matching values of the Q first target circular vein area images, obtains the third similarity according to the Q matching values of the Q second target circular vein area images, and obtains the fourth similarity according to the Q matching values of the Q third target circular vein area images.
The labels given to the first feature point, the second feature point and the third feature point are 'vein intersection', 'vein endpoint' and 'vein curvature', after P circular vein area images are obtained, the feature points with the labels of 'vein intersection' are selected, the distribution conditions of the feature points in the P circular vein area images are analyzed, Q first target circular vein area images with the largest distribution quantity are selected, and the first target circular vein area images are respectively marked with the labels of Qa1， Qa2，，，QaqFrom Q in alphabetical order of referencea1Starting with Qa1Divided into M circular rings of the same ring width, M being an integer greater than 2, from Qa1Starting the circle with the minimum radius in the M circles, and performing feature point matching on the M circles and a pre-stored first feature template, namely a vein intersection feature template to obtain Qa1Is calculated, and the matching value w1, w1, represents the first target circular vein region image Qa1The similarity of the vein intersection feature and a pre-stored vein intersection feature template is obtained by the same method, matching values w2, w3, wq are obtained, a second similarity is obtained by taking the mean value or the root mean square value of w1, w2, wq, and then the feature points labeled as 'vein endpoint' and 'vein curvature' are respectively subjected to the operation, and a third similarity and a fourth similarity are obtained.
It can be seen that P circular vein area images are obtained by intercepting the first target vein image to regionalize the first target vein image, the distribution of the first feature point, the second feature point and the third feature point in each circular vein area image can be clearly displayed through the P circular vein area images, so that Q first target circular vein area images with the first feature point, the second feature point and the third feature point in the largest number, Q second target circular vein area images and Q third target circular vein area images can be respectively selected from the P circular vein area images, the feature comparison range is reduced from the whole first target vein image to the Q circular vein area images, the repetitive operation is greatly reduced, the working efficiency is improved, the corresponding similarity is obtained by averaging Q matching values of the Q circular vein area images, and then, different weights are distributed to the similarity of the features, and the similarity is superposed to obtain the overall similarity, so that the feature comparison accuracy of each feature in each circular vein region image is improved, and the feature comparison accuracy of the whole first target vein image is improved.
In one possible example, the receiving the N vein images from the wearable device, and generating a first target vein image from the N vein images includes: the electronic device receives the N vein images from the wearable device; the electronic equipment performs fusion processing on the N vein images to obtain a first target vein image; the N vein images are images acquired by the wearable device in a process of moving from a first preset position to a second preset position.
Wherein the fusion algorithm comprises any one of the following: bayesian estimation method, neural network method, fuzzy clustering method, D-S evidence reasoning method and voting method. The neural network method can solve the problem caused by difficulty in obtaining data category prior information in the fusion process, and in a decision layer fusion algorithm, the neural network not only serves as a classifier to make decision judgment on information, but also serves as a fusion center to further perform combined decision analysis on initial decisions.
The vein image is an infrared image, and the infrared image generally has the defects of weak target-background area contrast, fuzzy edge, large noise and the like, so that after receiving N vein images, the electronic equipment needs to perform preprocessing such as filtering and noise reduction on the N vein images and then perform fusion, thereby reducing noise and clutter in the vein image, improving the contrast between a vein blood vessel part in the image and the background area, wherein the preprocessing comprises size normalization, graying, filtering and smoothing processing, the size normalization enables the sizes of the vein blood vessels in the vein images acquired at different moments to be consistent, the image can be subjected to filtering processing by median filtering or high-pass filtering or other methods, the graying can reduce the difference of the vein image in gray level distribution, and the smoothing processing can remove unsmooth parts such as burrs in the vein image.
Wherein the first preset position and the second preset position are an initial position and a final position at which the wearable device moves on the corresponding vein part when the user enters the vein image.
It can be seen that a clear and complete vein image of a vein part, namely a first target vein image, can be obtained by performing fusion processing on the received N vein images.
In one possible example, before the receiving the user's unlock request, the method further comprises: the electronic device acquires the position of the wearable device; the electronic equipment judges whether the wearable equipment is in an unlocking range or not according to the position; and if the distance is within a preset range, the electronic equipment detects the state of the unlocking target, and if the unlocking target is locked, the electronic equipment inquires whether the user unlocks.
The electronic device is in communication connection with the wearable device, the electronic device can acquire a vein image of a user through the wearable device and can acquire a geographic position of the wearable device, unlocking is achieved only when the user and the wearable device need to be within an unlocking range due to the fact that unlocking is based on short-distance communication, the unlocking range is set by the user according to an optional range in advance, for example, the unlocking range can be set to be a range with the circle center radius of an unlocking device as 3 meters, if an unlocking target is locked, the electronic device reminds the user in a voice mode or a screen display mode, such as 'approaching a door and performing unlocking or not', and displays 'yes' and 'no' options on a screen of the electronic device, and after the user selects the corresponding options, the electronic device performs corresponding operations according to user selection.
It can be seen that when the user is in the unlocking range and the unlocking target is in the locked state, the electronic device asks the user whether the unlocking is needed, the user does not need manual operation, and only needs to agree with the unlocking by voice to automatically unlock the unlocking target in a short distance, so that the unlocking method is not more convenient and time-saving than the traditional unlocking method.
In one possible example, before the receiving the user's unlock request, the method further comprises: the electronic equipment receives an authorization request of a user, and a second target vein image is obtained through the wearable equipment; the electronic equipment extracts a second regional feature and a second local feature of the second target vein image; the electronic equipment detects whether the user identity is legal or not according to the second regional characteristic and the second local characteristic; and if the user identity is legal, generating an authorization password.
When a user needs to give unlocking authority to others, the user can select authorization to others in the electronic equipment, then the electronic equipment verifies the identity of the user through vein recognition, and generates an authorization password after confirming the user, the authorization password can be used for unlocking, the user can inform the authorization password to others through telephone or short message or WeChat, and the like, the authorization password is valid within a preset time such as 1 hour, and is invalid if exceeding 1 hour, and the authorization password needs to be obtained again.
Optionally, when the electronic device is a mobile phone, the user may further continue to input the mobile phone number of the other person after obtaining the authorization password, and the electronic device sends the authorization password to the mobile phone of the other person in a telephone or short message manner.
It can be seen that, in a special case, the user can also authorize to allow others to unlock the lock, and before obtaining the authorized password, vein authentication is also required to confirm the authorization performed for the user himself, i.e. security is ensured, and great flexibility is provided.
In one possible example, the unlocking targets are sequentially divided into a first unlocking target, a second unlocking target and a third unlocking target according to the decreasing of the importance degree, and the method includes: if the electronic equipment receives an unlocking request of a user for the first unlocking target, unlocking through the vein unlocking method and fingerprint identification; or, if the electronic device receives an unlocking request of a user for the second unlocking target, unlocking through the vein unlocking method; or if the electronic equipment receives an unlocking request of a user for the third unlocking target, unlocking through the vein unlocking method, and if unlocking fails, unlocking through the fingerprint identification.
For example, a safe may be classified as a first unlock target, a computer may be classified as a second unlock target, and a house and a vehicle may be classified as a third unlock target. The device that divides into first unblock target need possess the fingerprint identification function simultaneously, and this first unblock target inputs user's fingerprint information in advance, only passes through and fingerprint identification passes through vein authentication under the condition, just can unlock first unblock target, through vein identification and fingerprint identification dual guarantee, further improves the security. If the third unlocking target also has a fingerprint unlocking function, fingerprint identification unlocking can be performed under the condition that vein authentication fails, so that on one hand, the safety is guaranteed as much as possible, on the other hand, the flexibility of an unlocking scheme is improved, and a user can still perform identification unlocking in other modes when vein authentication fails.
The unlocking targets are divided according to the importance degrees, so that the unlocking targets with different importance degrees correspond to different unlocking schemes, the overall unlocking strategy is layered and differentiated, and the unlocking method is more flexible and applicable to more scenes on the premise of ensuring safety.
As shown in fig. 2, fig. 2 is a schematic diagram of a specific embodiment provided by the present application, in this embodiment, the electronic device is a mobile phone of a user, the unlocking target is a door, the vein portion to be verified is a back of a hand, when the user approaches the door, the electronic device detects that the user is within an unlocking range of the door (for example, 3 meters away from the door), and knows that the door is locked through bluetooth communication, the text "approaches the door and is unlocked" is displayed on a screen of the mobile phone of the user, two selection buttons of "yes" and "no" are displayed below the text, and the text content is prompted to the user by voice, if the user replies "yes" or clicks the selection button of "yes" on the screen of the mobile phone, an unlocking request is generated, then the mobile phone notifies the wearable device to acquire an image of N veins, after the wearable device sends out infrared light by using a "tic sound, moving from the top end of the back of the hand (a first preset position) to the tail end of the back of the hand (a second preset position) within a preset time (such as within 3 s), acquiring N vein images by the wearable device in the moving process, sending the N vein images to a mobile phone of a user, carrying out preprocessing such as graying, scale normalization, smoothing, filtering and the like on the N vein images by the mobile phone of the user to obtain a first target vein image, and extracting the region characteristic, the vein intersection point characteristic, the vein endpoint characteristic and the vein curvature characteristic of the first target vein image; and respectively comparing the extracted features with corresponding pre-stored feature templates to obtain the similarity of the features, further obtaining the overall similarity and comparison results, and displaying the similarity of the features, the overall similarity and the comparison results on a mobile phone screen, wherein the comparison results are shown as the regional feature similarity: 0.7, vein intersection similarity: 0.8, vein endpoint similarity: 0.6, vein curvature similarity: 0.6, the overall similarity is 75%, the vein comparison is successful, namely the unlocking is about to be performed, after the unlocking is successful, the unlocking target sends information of successful unlocking to the mobile phone of the user, the mobile phone of the user stores the information into the historical unlocking record after receiving the information, and the user can select different unlocking targets from the historical unlocking record to check the unlocking record.
Wherein, the vein image of the back of the hand is collected under the state of horizontal diastole, if the user holds a heavy object, the regional characteristic of the first target vein image is different due to the 'deformation' of the back of the hand, the position of part of veins moves, the distance between veins is correspondingly increased, and the result of characteristic comparison may be affected, for this, the weight ratio of the regional characteristic and each local characteristic is adjusted according to the variation range of the similarity of the regional characteristic of the first target vein image, for example, the original weight of the regional characteristic is 30%, the original weights of the local characteristics are respectively 20%, 30% and 20%, if the similarity of other finally obtained local characteristics (vein intersection characteristic, vein endpoint characteristic and vein curvature characteristic) is higher than H (for example, 0.7), and the similarity of the regional characteristic is between L1 (for example, 0.3) and L2 (for example, 0.5), the weight ratio of the regional characteristic and the local characteristic is automatically adjusted, adjusting the regional characteristic weight to 15%, adjusting the local characteristic weight to 25%, 35% and 25%, respectively, and then calculating and judging whether the user identity is legal by using the adjusted weights; if the similarity of other finally obtained local features is higher than H and the similarity of the regional features is between L3 (such as 0.1) and L1, adjusting the weight of the regional features to be 10 percent and adjusting the weight of the local features to be 26 percent, 38 percent and 26 percent respectively; if all the other finally obtained local feature similarities are higher than H and the regional feature similarity is lower than L3, the regional feature weight is adjusted to be 5%, and the local feature weights are adjusted to be 28%, 39% and 28%, respectively.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and as shown in the figure, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the programs are stored in the memory and configured to be executed by the processor. The program includes instructions for performing the steps of:
receiving an unlocking request of a user; responding to the unlocking request, and informing the wearable device to collect N vein images, wherein N is a positive integer greater than 2; receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images; extracting a first regional feature and a first local feature of the first target vein image, wherein the first regional feature is a feature of the whole structure of the vein, and the first local feature is a feature of the local part of the vein; detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic; and if the user identity is legal, executing unlocking operation.
In one possible example, the first local feature comprises a first feature, a second feature and a third feature, in the detecting whether a user identity is legitimate from the first regional feature and the first local feature, the program comprising instructions for: comparing the first region characteristic with a pre-stored region characteristic template to obtain a first similarity; comparing the first characteristic with a pre-stored first characteristic template to obtain a second similarity, comparing the second characteristic with a pre-stored second characteristic template to obtain a third similarity, and comparing the third characteristic with a pre-stored third characteristic template to obtain a fourth similarity, wherein the first characteristic refers to the characteristic of a vein intersection point, the second characteristic refers to the characteristic of a vein endpoint, and the third characteristic refers to the characteristic of vein curvature; calculating the overall similarity according to the first similarity, the second similarity, the third similarity and the fourth similarity; and comparing the overall similarity with a preset threshold value to obtain a comparison result, and judging whether the user identity is legal or not according to the comparison result.
In one possible example, the program includes instructions for performing a feature comparison between the first feature and a pre-stored first feature template to obtain a second similarity, performing a feature comparison between the second feature and a pre-stored second feature template to obtain a third similarity, and performing a feature comparison between the third feature and a pre-stored third feature template to obtain a fourth similarity:
respectively assigning labels to a first feature point, a second feature point and a third feature point, wherein the first feature point corresponds to the first feature, the second feature point corresponds to the second feature, and the third feature point corresponds to the third feature; and
performing circular image interception on the first target vein image according to P equal-diameter different circle centers to obtain P circular vein area images, wherein P is an integer larger than 3; and according to the label respectivelyAnalyzing the distribution of the first feature point, the second feature point and the third feature point in the P circular vein area images; and respectively selecting Q first target circular vein area images Q from the P circular vein area imagesa1，Qa2，，，QaqQ second target circular vein region images Qb1，Qb2，，， QbqAnd Q third target circular vein region images Qc1，Qc2，，，QcqQ is an integer less than P; dividing each of the Q first target circular vein region images, the Q second target circular vein region images and the Q third target circular vein region images into M circular rings with the same ring width; and according to Qa1，Qa2，，，Qaq，Qb1，Qb2，，，Qbq，Qc1，Qc2，，，QcqSequentially selecting images, and sequentially matching the M rings with pre-stored first, second and third characteristic templates to obtain a matching value of the selected images, starting from the ring with the smallest radius in the M rings of the selected images; and obtaining the second similarity according to Q matching values of the Q first target circular vein area images, obtaining the third similarity according to Q matching values of the Q second target circular vein area images, and obtaining the fourth similarity according to Q matching values of the Q third target circular vein area images.
In one possible example, in the receiving the N vein images from the wearable device, generating a first target vein image from the N vein images, the program includes instructions for:
receiving the N vein images from the wearable device; performing fusion processing on the N vein images to obtain a first target vein image; the N vein images are images acquired by the wearable device in a process of moving from a first preset position to a second preset position.
In one possible example, prior to the receiving the user's unlock request, the program includes instructions for performing the steps of:
acquiring the position of the wearable device; judging whether the wearable device is in an unlocking range or not according to the position; and if the distance is within a preset range, detecting the state of the unlocking target, and if the unlocking target is locked, inquiring whether the user unlocks.
In one possible example, prior to the receiving the user's unlock request, the program includes instructions for performing the steps of:
receiving an authorization request of a user; and obtaining a second target vein image by the wearable device; extracting a second regional characteristic and a second local characteristic of the second target vein image; detecting whether the user identity is legal or not according to the second regional characteristic and the second local characteristic; and if the user identity is legal, generating an authorization password.
In one possible example, the unlocking objectives are sequentially divided into a first unlocking objective, a second unlocking objective and a third unlocking objective according to decreasing degrees of importance, and the program includes instructions for:
if an unlocking request of a user for the first unlocking target is received, unlocking through the vein unlocking method and fingerprint identification; or if an unlocking request of the user for the second unlocking target is received, unlocking through the vein unlocking method; or if an unlocking request of the user for the third unlocking target is received, unlocking through the vein unlocking method, and if unlocking fails, unlocking through the fingerprint identification.
The above description mainly introduces the solution of the embodiment of the present application from the perspective of the method implementation process. It is understood that the terminal includes corresponding hardware structures and/or software modules for performing the respective functions in order to implement the above-described functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the terminal may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In accordance with the above, please refer to fig. 4, fig. 4 is a schematic structural diagram of a vein unlocking device 400 according to an embodiment of the present application. The vein unlocking device 400 comprises a communication unit 401 and a processing unit 402, wherein:
a communication unit 401, configured to notify the wearable device to acquire N vein images after receiving an unlocking request from a user, and receive the N vein images from the wearable device;
a processing unit 402, configured to generate a first target vein image according to the N vein images, extract a first regional feature and a first local feature of the first target vein image, detect whether a user identity is legal according to the first regional feature and the first local feature, and execute an unlocking operation if the user identity is legal.
In a possible example, in the aspect of detecting whether the user identity is legal according to the first regional characteristic and the first local characteristic, the processing unit 402 is specifically configured to: comparing the first region characteristic with a pre-stored region characteristic template to obtain a first similarity; comparing the first characteristic with a pre-stored first characteristic template to obtain a second similarity, comparing the second characteristic with a pre-stored second characteristic template to obtain a third similarity, and comparing the third characteristic with a pre-stored third characteristic template to obtain a fourth similarity, wherein the first characteristic refers to the characteristic of a vein intersection point, the second characteristic refers to the characteristic of a vein endpoint, and the third characteristic refers to the characteristic of vein curvature; calculating the overall similarity according to the first similarity, the second similarity, the third similarity and the fourth similarity; and comparing the overall similarity with a preset threshold value to obtain a comparison result, and judging whether the user identity is legal or not according to the comparison result.
In a possible example, in the aspect of comparing the first feature with a pre-stored first feature template to obtain a second similarity, comparing the second feature with a pre-stored second feature template to obtain a third similarity, and comparing the third feature with a pre-stored third feature template to obtain a fourth similarity, the processing unit 402 is specifically configured to:
respectively assigning labels to a first feature point, a second feature point and a third feature point, wherein the first feature point corresponds to the first feature, the second feature point corresponds to the second feature, and the third feature point corresponds to the third feature; performing circular image interception on the first target vein image according to P equal-diameter different circle centers to obtain P circular vein area images, wherein P is an integer larger than 3; respectively analyzing the distribution of the first characteristic points, the second characteristic points and the third characteristic points in the P circular vein area images according to the labels; and respectively selecting Q first target circular vein area images Q from the P circular vein area imagesa1，Qa2，，，QaqQ second target circular vein region images Qb1，Qb2，，，QbqAnd Q third target circular vein region images Qc1，Qc2，，，QcqQ is an integer less than P; to be provided withDividing each of the Q first target circular vein region images, the Q second target circular vein region images and the Q third target circular vein region images into M circular rings with the same ring width; and according to Qa1，Qa2，，，Qaq，Qb1，Qb2，，，Qbq， Qc1，Qc2，，，QcqSequentially selecting images, and sequentially matching the M rings with pre-stored first, second and third characteristic templates to obtain a matching value of the selected images, starting from the ring with the smallest radius in the M rings of the selected images; and obtaining the second similarity according to Q matching values of the Q first target circular vein area images, obtaining the third similarity according to Q matching values of the Q second target circular vein area images, and obtaining the fourth similarity according to Q matching values of the Q third target circular vein area images.
In one possible example, before the receiving the user's unlock request, the processing unit 402 is further configured to:
acquiring the position of the wearable device; judging whether the wearable device is in an unlocking range or not according to the position; and if the distance is within a preset range, detecting the state of the unlocking target, and if the unlocking target is locked, inquiring whether the user unlocks.
In one possible example, before the receiving the user's unlock request, the processing unit 402 is further configured to:
receiving an authorization request of a user; and obtaining a second target vein image by the wearable device; extracting a second regional characteristic and a second local characteristic of the second target vein image; detecting whether the user identity is legal or not according to the second regional characteristic and the second local characteristic; and if the user identity is legal, generating an authorization password.
In a possible example, the unlocking targets are sequentially divided into a first unlocking target, a second unlocking target and a third unlocking target according to a decreasing degree of importance, and the processing unit 402 is further configured to:
if an unlocking request of a user for the first unlocking target is received, unlocking through the vein unlocking method and fingerprint identification; or if an unlocking request of the user for the second unlocking target is received, unlocking through the vein unlocking method; or if an unlocking request of the user for the third unlocking target is received, unlocking through the vein unlocking method, and if unlocking fails, unlocking through the fingerprint identification.
It can be seen that, in the embodiment of the application, after receiving an unlocking request of a user, an electronic device notifies the wearable device to acquire N vein images in response to the unlocking request; receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images; extracting a first regional feature and a first local feature of the first target vein image; detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic; and if the user identity is legal, executing unlocking operation. Therefore, the vein image is subjected to feature extraction and comparison, so that whether the vein image is operated by the user is determined, unlocking is performed, the use safety is improved, and the vein image unlocking device is suitable for multiple occasions and high in flexibility.
Embodiments of the present application also provide a computer-readable storage medium storing a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the hyperspectral imaging-based lane identification methods as recited in the above method embodiments.
Embodiments of the present application further provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program causes a computer to execute part or all of the steps of any one of the hyperspectral imaging based lane identification methods described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application. In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (9)
1. A vein unlocking method is applied to an electronic device, wherein the electronic device is in communication connection with a wearable device, and the method comprises the following steps:
receiving an unlocking request of a user;
responding to the unlocking request, and informing the wearable device to collect N vein images, wherein N is a positive integer greater than 2;
receiving the N vein images from the wearable device, and generating a first target vein image according to the N vein images;
extracting a first regional feature and a first local feature of the first target vein image, wherein the first regional feature is a feature of the whole structure of a vein, and the first local feature is a feature of a local part of the vein;
detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic;
if the user identity is legal, executing unlocking operation;
wherein the first local feature includes a first feature, a second feature and a third feature, and the detecting whether the user identity is legitimate according to the first regional feature and the first local feature includes: comparing the first region characteristic with a pre-stored region characteristic template to obtain a first similarity;
comparing the first characteristic with a pre-stored first characteristic template to obtain a second similarity, comparing the second characteristic with a pre-stored second characteristic template to obtain a third similarity, and comparing the third characteristic with a pre-stored third characteristic template to obtain a fourth similarity, wherein the first characteristic refers to the characteristic of a vein intersection point, the second characteristic refers to the characteristic of a vein endpoint, and the third characteristic refers to the characteristic of vein curvature;
calculating the overall similarity according to the first similarity, the second similarity, the third similarity and the fourth similarity;
comparing the overall similarity with a preset threshold to obtain a comparison result, and judging whether the user identity is legal or not according to the comparison result;
the step of comparing the first features with the pre-stored first feature template to obtain a second similarity, the step of comparing the second features with the pre-stored second feature template to obtain a third similarity, and the step of comparing the third features with the pre-stored third feature template to obtain a fourth similarity includes:
respectively assigning labels to a first feature point, a second feature point and a third feature point, wherein the first feature point corresponds to the first feature, the second feature point corresponds to the second feature, and the third feature point corresponds to the third feature;
performing circular image interception on the first target vein image according to P equal-diameter different circle centers to obtain P circular vein area images, wherein P is an integer larger than 3;
respectively analyzing the distribution of the first characteristic points, the second characteristic points and the third characteristic points in the P circular vein area images according to the labels;
respectively selecting Q first target circular vein area images Q from the P circular vein area imagesa1，Qa2，，，QaqQ second target circular vein region images Qb1，Qb2，，，QbqAnd Q third target circular vein region images Qc1，Qc2，，，Qcq；
Dividing each of the Q first target circular vein region images, the Q second target circular vein region images, and the Q third target circular vein region images into M circular rings having the same ring width;
according to Qa1，Qa2，，，Qaq，Qb1，Qb2，，，Qbq，Qc1，Qc2，，，QcqSequentially selecting images, and sequentially matching the M rings with pre-stored first, second and third characteristic templates to obtain a matching value of the selected images, starting from the ring with the smallest radius in the M rings of the selected images;
the second similarity is obtained according to Q matching values of the Q first target circular vein area images, the third similarity is obtained according to Q matching values of the Q second target circular vein area images, and the fourth similarity is obtained according to Q matching values of the Q third target circular vein area images.
2. The method according to claim 1, wherein the receiving the N vein images from the wearable device, and wherein generating a first target vein image from the N vein images comprises:
receiving the N vein images from the wearable device;
performing fusion processing on the N vein images to obtain a first target vein image;
the N vein images are images acquired by the wearable device in a process of moving from a first preset position to a second preset position.
3. The method of claim 1, wherein prior to the receiving the user's unlock request, the method further comprises:
acquiring the position of the wearable device;
judging whether the wearable device is in an unlocking range or not according to the position;
and if the wearable device is in the unlocking range, detecting the state of the unlocking target, and if the unlocking target is locked, inquiring whether the user unlocks.
4. The method of claim 2, wherein prior to the receiving the user's unlock request, the method further comprises:
acquiring the position of the wearable device;
judging whether the wearable device is in an unlocking range or not according to the position;
and if the wearable device is in the unlocking range, detecting the state of the unlocking target, and if the unlocking target is locked, inquiring whether the user unlocks.
5. The method of any of claims 1-4, wherein prior to the receiving the user's request to unlock, the method further comprises:
receiving an authorization request of a user;
obtaining a second target vein image by the wearable device;
extracting a second regional characteristic and a second local characteristic of the second target vein image;
detecting whether the user identity is legal or not according to the second regional characteristic and the second local characteristic;
and if the user identity is legal, generating an authorization password.
6. The method according to any one of claims 3 to 4, wherein the unlocking targets are sequentially divided into a first unlocking target, a second unlocking target and a third unlocking target according to the decreasing degree of importance, and the method comprises the following steps:
if an unlocking request of a user for the first unlocking target is received, unlocking through the vein unlocking method and fingerprint identification;
or if an unlocking request of the user for the second unlocking target is received, unlocking through the vein unlocking method;
or if an unlocking request of the user for the third unlocking target is received, unlocking through the vein unlocking method, and if unlocking fails, unlocking through the fingerprint identification.
7. A vein unlocking device, comprising:
the wearable device comprises a communication unit, a storage unit and a processing unit, wherein the communication unit is used for informing the wearable device to collect N vein images after receiving an unlocking request of a user and receiving the N vein images from the wearable device;
the processing unit is used for generating a first target vein image according to the N vein images, extracting a first regional characteristic and a first local characteristic of the first target vein image, detecting whether the user identity is legal or not according to the first regional characteristic and the first local characteristic, and executing unlocking operation if the user identity is legal;
wherein the first local feature includes a first feature, a second feature and a third feature, and the detecting whether the user identity is legitimate according to the first regional feature and the first local feature includes: comparing the first region characteristic with a pre-stored region characteristic template to obtain a first similarity;
comparing the first characteristic with a pre-stored first characteristic template to obtain a second similarity, comparing the second characteristic with a pre-stored second characteristic template to obtain a third similarity, and comparing the third characteristic with a pre-stored third characteristic template to obtain a fourth similarity, wherein the first characteristic refers to the characteristic of a vein intersection point, the second characteristic refers to the characteristic of a vein endpoint, and the third characteristic refers to the characteristic of vein curvature;
calculating the overall similarity according to the first similarity, the second similarity, the third similarity and the fourth similarity;
comparing the overall similarity with a preset threshold to obtain a comparison result, and judging whether the user identity is legal or not according to the comparison result;
the step of comparing the first features with the pre-stored first feature template to obtain a second similarity, the step of comparing the second features with the pre-stored second feature template to obtain a third similarity, and the step of comparing the third features with the pre-stored third feature template to obtain a fourth similarity includes:
respectively assigning labels to a first feature point, a second feature point and a third feature point, wherein the first feature point corresponds to the first feature, the second feature point corresponds to the second feature, and the third feature point corresponds to the third feature;
performing circular image interception on the first target vein image according to P equal-diameter different circle centers to obtain P circular vein area images, wherein P is an integer larger than 3;
respectively analyzing the distribution of the first characteristic points, the second characteristic points and the third characteristic points in the P circular vein area images according to the labels;
respectively selecting Q first target circular vein area images Q from the P circular vein area imagesa1，Qa2，，，QaqQ second target circular vein region images Qb1，Qb2，，，QbqAnd Q third target circular vein region images Qc1，Qc2，，，Qcq；
Dividing each of the Q first target circular vein region images, the Q second target circular vein region images, and the Q third target circular vein region images into M circular rings having the same ring width;
according to Qa1，Qa2，，，Qaq，Qb1，Qb2，，，Qbq，Qc1，Qc2，，，QcqSequentially selecting images, and sequentially matching the M rings with pre-stored first, second and third characteristic templates to obtain a matching value of the selected images, starting from the ring with the smallest radius in the M rings of the selected images;
the second similarity is obtained according to Q matching values of the Q first target circular vein area images, the third similarity is obtained according to Q matching values of the Q second target circular vein area images, and the fourth similarity is obtained according to Q matching values of the Q third target circular vein area images.
8. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-6.
9. A computer-readable storage medium, characterized in that,
a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-6.
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