CN110232761B - Door lock control method based on finger vein recognition and related device - Google Patents

Door lock control method based on finger vein recognition and related device Download PDF

Info

Publication number
CN110232761B
CN110232761B CN201910550877.0A CN201910550877A CN110232761B CN 110232761 B CN110232761 B CN 110232761B CN 201910550877 A CN201910550877 A CN 201910550877A CN 110232761 B CN110232761 B CN 110232761B
Authority
CN
China
Prior art keywords
finger vein
finger
vein image
door lock
similarity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910550877.0A
Other languages
Chinese (zh)
Other versions
CN110232761A (en
Inventor
张海平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to CN201910550877.0A priority Critical patent/CN110232761B/en
Publication of CN110232761A publication Critical patent/CN110232761A/en
Application granted granted Critical
Publication of CN110232761B publication Critical patent/CN110232761B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563Electronically 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
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00896Electronically 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

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Lock And Its Accessories (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The embodiment of the application discloses a door lock control method and a related device based on finger vein recognition, which are applied to a mobile terminal of a door lock control system, wherein the door lock control system further comprises a door lock control terminal, the mobile terminal is provided with a vein recognition module, the mobile terminal establishes communication connection with the door lock control terminal, and the method comprises the following steps: receiving an unlocking request from a door lock control terminal, wherein the unlocking request carries safety level information; searching a first identification mode matched with the safety level information from at least one preset identification mode; acquiring a first finger vein image of a user through a vein recognition module; comparing the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified; and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the unlocking instruction is used for indicating the door lock control terminal to control unlocking. The embodiment of the application is favorable for improving the safety of the door lock control system.

Description

Door lock control method based on finger vein recognition and related device
Technical Field
The application relates to the technical field of electronics, in particular to a door lock control method based on finger vein recognition and a related device.
Background
With the continuous improvement of living standard, people pay more attention to the problems of safety and convenience, and the concept of a home intelligent system is generated. The intelligent home is a product combining modern electronic technology, automation technology and communication technology. The safety of the door lock is a main concern of people as a core of home furnishing. The intelligent lock is a lock which is different from a traditional mechanical lock and is more intelligent in user identification, safety and manageability, and a mature technology using a non-mechanical key as a user Identification (ID) is adopted, for example: fingerprint lock, trick lock, iris discernment lock, entrance guard's magnetic card etc. and fingerprint lock, trick lock, entrance guard's magnetic card etc. are comparatively common.
But fingerprint lock, trick lock, entrance guard's magnetic card's security is not high, and the fingerprint is easily imitated, and the magnetic card is lost easily, and the password is revealed easily, and iris identification lock's security is higher, but the cost is also high, so fingerprint lock, trick lock or entrance guard's magnetic card are all taken to present majority's intelligent lock, and intelligent lock's security is lower.
Disclosure of Invention
The embodiment of the application provides a door lock control method based on finger vein identification and a related device, and is beneficial to improving the safety of a door lock control system.
In a first aspect, an embodiment of the present application provides a door lock control method based on finger vein recognition, which is applied to a mobile terminal of a door lock control system, where the door lock control system further includes a door lock control terminal, the mobile terminal is provided with a vein recognition module, the mobile terminal establishes a communication connection with the door lock control terminal, and the method includes:
receiving an unlocking request from the door lock control terminal, wherein the unlocking request carries safety level information;
searching a first identification mode matched with the safety level information from at least one preset identification mode;
acquiring a first finger vein image of a user through the vein recognition module;
comparing the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified;
and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the unlocking instruction is used for indicating the door lock control terminal to control unlocking.
In a second aspect, the embodiment of the present application provides a device of lock control based on finger vein recognition, is applied to lock control system's mobile terminal, lock control system still includes lock control terminal, mobile terminal is provided with vein recognition module, mobile terminal establish with lock control terminal's communication connection, the device includes:
the receiving unit is used for receiving an unlocking request from the door lock control terminal, and the unlocking request carries safety level information;
the searching unit is used for searching a first identification mode matched with the safety level information from at least one preset identification mode;
the acquisition unit is used for acquiring a first finger vein image of a user through the vein recognition module;
the comparison unit is used for comparing the first finger vein image with the finger vein template corresponding to the first identification mode so as to judge whether the first finger vein image is successfully identified;
and the sending unit is used for sending an unlocking instruction to the door lock control terminal when the first finger vein image is successfully identified, wherein the unlocking instruction is used for indicating the door lock control terminal to control unlocking.
In a third aspect, an embodiment of the present application provides a mobile terminal, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps of any method in the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, the mobile terminal receives an unlocking request from the door lock control terminal, the unlocking request carries security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified, and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the door lock control terminal controls unlocking. Therefore, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, judges whether the first finger vein image is successfully identified or not, and can control unlocking only when the identification is successful, different identification modes are set for different security levels, the identification is performed in different modes under different security levels, and the unlocking can be controlled only when the identification is successful.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a door lock control system provided by an embodiment of the present application;
fig. 2 is a schematic flowchart of a door lock control method based on finger vein identification according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another door lock control method based on finger vein recognition according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another door lock control method based on finger vein recognition according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application;
fig. 6 is a block diagram of functional units of an apparatus for controlling a door lock based on finger vein recognition according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a door lock control method based on finger vein recognition and a related device, and is beneficial to improving the safety of a door lock system.
For a person skilled in the art to better understand the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and 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 application.
It should be noted that the terms "first", "second", "third", "fourth", and the like in the description and claims of the present application and in the drawings are used for distinguishing different objects and are not used for describing a specific order. 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.
The following provides a detailed description of examples of the present application.
Referring to fig. 1, fig. 1 is a schematic diagram of a door lock control system 100 according to an embodiment of the present application. The door lock control system 100 comprises a mobile terminal 101 and a door lock control terminal 102, wherein the mobile terminal 101 is provided with a vein recognition module, and the mobile terminal 101 establishes communication connection with the door lock control terminal 102;
the mobile terminal 101 receives an unlocking request from the door lock control terminal 102, wherein the unlocking request carries safety level information; the mobile terminal 101 searches a first identification mode matched with the safety level information from at least one preset identification mode; the mobile terminal 101 acquires a first finger vein image of a user through a vein recognition module; the mobile terminal 101 compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified; when the first finger vein image is successfully identified, the mobile terminal 101 sends an unlocking instruction to the door lock control terminal 102, and the unlocking instruction is used for instructing the door lock control terminal 102 to control unlocking.
The door lock control system provided by the embodiment of the application is favorable for improving the safety of the door lock control system. In this example, the door lock control system 100 includes a mobile terminal 101 and a door lock control terminal 102, and in a specific use environment, the door lock control system 100 further includes other components.
The Mobile terminal 101 in the embodiment of the present application may include various handheld devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like.
The door lock control terminal 102 in the embodiment of the present application may be installed in various places, such as residential houses, office buildings, offices, schools, banks, hospitals, and the like.
Referring to fig. 2, fig. 2 is a schematic flowchart of a door lock control method based on finger vein recognition according to an embodiment of the present application, and the method is applied to a mobile terminal of a door lock control system, where the door lock control system further includes a door lock control terminal, the mobile terminal is provided with a vein recognition module, and the mobile terminal establishes a communication connection with the door lock control terminal, as shown in fig. 2, the door lock control method based on finger vein recognition according to the embodiment includes:
step 201, receiving an unlocking request from the door lock control terminal, wherein the unlocking request carries security level information.
Specifically, when a user needs to control unlocking, the door lock control terminal sends an unlocking request to the mobile terminal, the unlocking request carries safety level information, and the safety level information is different according to different places where the door lock control terminal is installed.
For example, if the door lock control terminal is installed in a main door of a residential community, a main door of a school, and the like, because the flow of people in these places is large, and many other people enter into the visit or visit, the security requirement is relatively low, and the security level carried by the corresponding unlocking request is also relatively low.
Step 202, searching a first identification mode matched with the safety level information from at least one preset identification mode.
Specifically, the mobile terminal stores at least one identification mode and a corresponding relationship between the identification mode and the security level information, for a lower security level, the corresponding identification mode is simpler, for example, a finger vein image of any one finger can be identified, for a higher security level, the identification mode is more complex, for example, the finger vein image of a plurality of fingers can be identified simultaneously, auxiliary identification is also required in addition to the identification of the finger vein image, and the identification success is determined only when a plurality of types of identification are passed.
Step 203, acquiring a first finger vein image of the user through the vein recognition module.
Specifically, the mobile terminal is provided with a vein recognition module, a user places fingers in an acquisition area of the mobile terminal, the mobile terminal acquires a first finger vein image of the user through the vein recognition module, and the first finger vein image can be a finger vein image of any one of a thumb, an index finger, a middle finger, a ring finger and a little finger of the user.
And 204, comparing the first finger vein image with the finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified.
Specifically, the mobile terminal stores a plurality of finger vein templates including finger vein templates of a plurality of fingers of the same user, finger vein templates of different users, and the like, and the mobile terminal obtains the finger vein template corresponding to the first identification mode, for example, when the first identification mode is a finger vein image for identifying an index finger, the mobile terminal obtains the finger vein template of the index finger, and then compares the obtained first finger vein image with the finger vein template of the index finger, thereby determining whether the first finger vein image is successfully identified.
In a possible example, the first identification mode corresponds to a finger vein template, and only the first finger vein image is compared with the finger vein template, so as to judge whether the identification is successful.
In another possible example, the first identification mode corresponds to a plurality of finger vein templates, for example, a door lock control system sets a plurality of valid users, and the mobile terminal stores finger vein templates of the plurality of valid users, the first finger vein image needs to be compared with the plurality of finger vein templates, and as long as the comparison between the first finger vein image and any one of the plurality of finger vein templates is successful, it can be determined that the identification of the first finger vein image is successful.
Step 205, when the first finger vein image is successfully identified, sending an unlocking instruction to the door lock control terminal, wherein the unlocking instruction is used for instructing the door lock control terminal to control unlocking.
Specifically, when the first finger vein image is successfully identified, it is indicated that the corresponding user is a valid user, the mobile terminal sends an unlocking instruction to the door lock control terminal, and the door lock control terminal controls unlocking when receiving the unlocking instruction, so that the user can enter the corresponding place.
It can be seen that, in the embodiment of the application, the mobile terminal receives an unlocking request from the door lock control terminal, the unlocking request carries security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified, and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the door lock control terminal controls unlocking. Therefore, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, judges whether the first finger vein image is successfully identified or not, and can control unlocking only when the identification is successful, different identification modes are set for different security levels, the identification is performed in different modes under different security levels, and the unlocking can be controlled only when the identification is successful.
Referring to fig. 3, fig. 3 is a schematic flow diagram of another door lock control method based on finger vein recognition according to an embodiment of the present application, and is applied to a mobile terminal of a door lock control system, where the door lock control system further includes a door lock control terminal, the mobile terminal is provided with a vein recognition module, and the mobile terminal establishes a communication connection with the door lock control terminal, as shown in fig. 3, the door lock control method based on finger vein recognition according to the embodiment includes:
step 301, the mobile terminal receives an unlocking request from the door lock control terminal, wherein the unlocking request carries security level information.
Specifically, when a user needs to control unlocking, the door lock control terminal sends an unlocking request to the mobile terminal, the unlocking request carries safety level information, and the safety level information is different according to different places where the door lock control terminal is installed.
For example, if the door lock control terminal is installed in a main door of a residential community, a main door of a school, and the like, because the flow of people in these places is large, and many other people enter into the visit or visit, the security requirement is relatively low, and the security level carried by the corresponding unlocking request is also relatively low.
Step 302, the mobile terminal searches for a first identification mode matched with the security level information from at least one preset identification mode, wherein the first identification mode is a finger vein image for identifying a first finger.
Specifically, the mobile terminal stores at least one identification mode and a corresponding relationship between the identification mode and the security level information, for a lower security level, the corresponding identification mode is simpler, for example, a finger vein image of any one finger can be identified, for a higher security level, the identification mode is more complex, for example, the finger vein image of a plurality of fingers can be identified simultaneously, auxiliary identification is also required in addition to the identification of the finger vein image, and the identification success is determined only when a plurality of types of identification are passed.
Step 303, the mobile terminal obtains a first finger vein image of the user through the vein recognition module.
Specifically, the mobile terminal is provided with a vein recognition module, a user places fingers in an acquisition area of the mobile terminal, the mobile terminal acquires a first finger vein image of the user through the vein recognition module, and the first finger vein image can be a finger vein image of any one of a thumb, an index finger, a middle finger, a ring finger and a little finger of the user.
And step 304, the mobile terminal acquires a pre-stored finger vein template of the first finger.
In step 305, the mobile terminal compares the first finger vein image with the finger vein template of the first finger to obtain a first similarity.
In one possible example, the method for the mobile terminal to compare the first finger vein image with the finger vein template of the first finger to obtain the first similarity may be:
analyzing the distribution of the characteristic points of the first finger vein image;
performing circular image interception on the first finger vein image according to M different circle centers to obtain M circular finger vein images, wherein M is an integer larger than 3;
selecting a target circular finger vein image from the M circular finger vein images, wherein the number of characteristic points contained in the target circular finger vein image is larger than that of other circular finger vein images in the M circular finger vein images;
and matching the target circular finger vein image with the finger vein template of the first finger to obtain a first similarity.
Therefore, the finger vein image not only contains the feature points, but also contains other irrelevant information, such as background information and noise, all the information contained in the finger vein image is compared with the finger vein template of the first finger, so that the time and more resources are consumed, and the accuracy rate is possibly influenced.
In one possible example, the method of feature point matching the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity may be:
when the definition of the target circular finger vein image is not smaller than a preset definition threshold value, matching all feature points in the target circular finger vein image with the feature points of the finger vein template of the first finger to obtain a first similarity;
when the definition of the target circular finger vein image is smaller than a preset definition threshold value, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, and the N types of feature points are different in weight;
and matching the N types of feature points with the finger vein template of the first finger to obtain a first similarity.
Specifically, when a finger vein image of a user is acquired, the acquired finger vein image may be blurred due to the fact that the finger vein of the user is shallow, if all feature points in the target circular finger vein image are directly matched with the feature points of the finger vein template of the first finger, the false rejection rate is high, namely, a valid user is identified as an invalid user, so that whether the definition of the target circular finger vein image is smaller than a preset definition threshold value or not needs to be judged, and when the definition of the target circular finger vein image is not smaller than the preset definition threshold value, all feature points in the target circular finger vein image are matched with the feature points of the finger vein template of the first finger, so that first similarity is obtained;
when the definition of the target circular finger vein image is smaller than a preset definition threshold value, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, the N types of feature points are different in weight, the weight set for the feature point of the type with the most dense feature point distribution is the largest, and the weight set for the feature point of the type with the most dispersed feature point distribution is the smallest in the same way;
and matching the N types of feature points with the finger vein template of the first finger to obtain N similarity, and synthesizing the N similarity according to the weight of the N types of feature points to obtain the first similarity.
Therefore, under the condition that the obtained finger vein image is fuzzy due to the fact that the finger vein of the user is shallow, whether the definition is smaller than the preset definition threshold value or not is judged, if the definition is smaller than the preset definition threshold value, the feature points are classified and different weights are set, the accuracy of the similarity obtained through calculation is higher, and the false rejection rate is reduced.
Step 306, the mobile terminal determines whether the first similarity exceeds a preset similarity threshold.
And 307, if the first similarity exceeds a preset similarity threshold, determining that the first finger vein image is successfully identified.
And 308, if the first similarity does not exceed a preset similarity threshold, determining that the first finger vein image identification fails.
And 309, when the first finger vein image is successfully identified, the mobile terminal sends an unlocking instruction to the door lock control terminal.
And step 310, controlling unlocking by the door lock control terminal.
It can be seen that, in the embodiment of the application, a mobile terminal receives an unlocking request from a door lock control terminal, the unlocking request carries security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, intercepts the first finger vein image, selects a finger vein image with the most feature points from the first identification mode, compares the finger vein image with the most feature points with a finger vein template corresponding to the first identification mode, classifies the feature points and sets different weights when the finger vein image is fuzzy to judge whether the first finger vein image is successfully identified, and sends an unlocking instruction to the door lock control terminal when the first finger vein image is successfully identified, and the door lock control terminal controls unlocking. It can be seen that, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, and determines whether the first finger vein image is successfully identified, and unlocking can be controlled only when the identification is successful, which is beneficial to improving the security of the door lock system, and the finger vein image is intercepted, and the finger vein image containing the most feature points is selected from the intercepted first finger vein image, and the finger vein image containing the most feature points is compared with the finger vein template, so that the comparison time can be saved, and the comparison accuracy is also higher.
Referring to fig. 4, fig. 4 is a schematic flow chart of another door lock control method based on finger vein recognition according to an embodiment of the present application, and is applied to a mobile terminal of a door lock control system, where the door lock control system further includes a door lock control terminal, the mobile terminal is provided with a vein recognition module, and the mobile terminal establishes a communication connection with the door lock control terminal, as shown in fig. 4, the door lock control method based on finger vein recognition according to the embodiment includes:
step 401, the mobile terminal receives an unlocking request from a door lock control terminal, wherein the unlocking request carries security level information.
Specifically, when a user needs to control unlocking, the door lock control terminal sends an unlocking request to the mobile terminal, the unlocking request carries safety level information, and the safety level information is different according to different places where the door lock control terminal is installed.
Step 402, the mobile terminal searches for a first identification mode matched with the security level information from at least one preset identification mode, wherein the first identification mode comprises a finger vein image for identifying a first finger.
Specifically, the mobile terminal stores at least one identification mode and a corresponding relationship between the identification mode and the security level information, for a lower security level, the corresponding identification mode is simpler, for example, a finger vein image of any one finger can be identified, for a higher security level, the identification mode is more complex, for example, the finger vein image of a plurality of fingers can be identified simultaneously, auxiliary identification is also required in addition to the identification of the finger vein image, and the identification success is determined only when a plurality of types of identification are passed.
In step 403, the mobile terminal acquires a first finger vein image of the user through the vein recognition module.
Specifically, the mobile terminal is provided with a vein recognition module, a user places fingers in an acquisition area of the mobile terminal, the mobile terminal acquires a first finger vein image of the user through the vein recognition module, and the first finger vein image can be a finger vein image of any one of a thumb, an index finger, a middle finger, a ring finger and a little finger of the user.
And step 404, the mobile terminal compares the first finger vein image with the finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified.
Step 405, when the first finger vein image is successfully identified, first auxiliary identification information of the user is obtained, and the first identification mode further comprises auxiliary identification.
Specifically, the first recognition method performs auxiliary recognition in addition to recognition of the finger vein image of the first finger, and the first auxiliary recognition information may be a password or a pattern preset by the user or a finger vein image when the first finger of the user is bent.
In step 406, the mobile terminal compares the first auxiliary identification information with the auxiliary identification template corresponding to the first identification mode to determine whether the first auxiliary identification information is successfully identified.
In one possible example, the first auxiliary identification information is a first password or a first pattern input by a user, and the method for comparing the first auxiliary identification information with an auxiliary identification template corresponding to a first identification manner to determine whether the first auxiliary identification information is successfully identified may be:
comparing a first password input by a user with a pre-stored password template;
if the first password is the same as the password template, determining that the first auxiliary identification information is successfully identified;
if the first password is different from the password template, determining that the first auxiliary identification information fails to be identified;
or comparing the first pattern input by the user with a pre-stored pattern template;
if the first pattern is the same as the pattern template, determining that the first auxiliary identification information is successfully identified;
and if the first pattern is not the same as the pattern template, determining that the first auxiliary identification information fails to identify.
Therefore, the auxiliary identification is carried out besides the finger vein image of the first finger of the user, the password or the pattern input by the user is identified, the successful identification of the finger vein image of the first finger of the user and the successful identification of the auxiliary identification are ensured, and the safety of the door lock control system is improved.
In another possible example, the method for determining whether the first auxiliary identification information is successfully identified by comparing the first auxiliary identification information with the auxiliary identification template corresponding to the first identification mode, where the first auxiliary identification information is a finger vein image when the first finger is bent, may further include:
acquiring a pre-stored finger vein template when a first finger is bent;
comparing the finger vein image when the first finger is bent with the finger vein template when the first finger is bent to obtain a second similarity;
judging whether the second similarity exceeds a preset similarity threshold value;
if the second similarity exceeds a preset similarity threshold, determining that the first auxiliary identification information is successfully identified;
and if the second similarity does not exceed the preset similarity threshold, determining that the first auxiliary identification information fails to identify.
Therefore, the auxiliary recognition is carried out besides the finger vein image of the first finger of the user, the auxiliary recognition comprises the recognition of the finger vein image when the first finger of the user is bent, and the obtained finger vein images are different due to the fact that the finger veins of the first finger of the user in the vertical state and the bent state are different, so that the successful recognition of the finger vein image of the first finger of the user and the finger vein image when the first finger is bent is ensured, and the safety of the door lock control system is improved.
In step 407, the mobile terminal determines that the first auxiliary identification information is successfully identified.
And step 408, the mobile terminal sends an unlocking instruction to the door lock control terminal.
And step 409, controlling unlocking by the door lock control terminal.
It can be seen that, in the embodiment of the application, the mobile terminal receives an unlocking request from the door lock control terminal, the unlocking request carries the security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified, when the first finger vein image is successfully identified, first auxiliary identification information of the user is obtained, the first auxiliary identification information is compared with an auxiliary identification template corresponding to the first identification mode, and judging whether the first auxiliary identification information is successfully identified, determining that the first auxiliary identification information is successfully identified, sending an unlocking instruction to the door lock control terminal, and controlling unlocking by the door lock control terminal. Therefore, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, whether the first finger vein image is successfully identified is judged, the mobile terminal acquires the first auxiliary identification information of the user, and unlocking can be controlled only if the finger vein image and the auxiliary identification information are successfully identified, so that the finger vein identification and auxiliary identification modes are adopted, and the safety of the door lock system is improved.
Consistent with the embodiments shown in fig. 3 and fig. 4, please refer to fig. 5, fig. 5 is a schematic structural diagram of a mobile terminal 500 according to an embodiment of the present application, and as shown in the drawing, the mobile terminal 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps;
receiving an unlocking request from a door lock control terminal, wherein the unlocking request carries safety level information;
searching a first identification mode matched with the safety level information from at least one preset identification mode;
acquiring a first finger vein image of a user through a vein recognition module;
comparing the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified;
and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the unlocking instruction is used for indicating the door lock control terminal to control unlocking.
It can be seen that, in the embodiment of the application, the mobile terminal receives an unlocking request from the door lock control terminal, the unlocking request carries security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified, and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the door lock control terminal controls unlocking. Therefore, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, judges whether the first finger vein image is successfully identified or not, and can control unlocking only when the identification is successful, different identification modes are set for different security levels, the identification is performed in different modes under different security levels, and the unlocking can be controlled only when the identification is successful.
In one possible example, the first recognition mode includes recognizing a finger vein image of a first finger, and in the aspect of comparing the first finger vein image with a finger vein template corresponding to the first recognition mode to determine whether the first finger vein image is successfully recognized, the instructions in the program are specifically configured to perform the following operations: acquiring a prestored finger vein template of the first finger; comparing the first finger vein image with a finger vein template of the first finger to obtain a first similarity; judging whether the first similarity exceeds a preset similarity threshold value or not; if the first similarity exceeds the preset similarity threshold, determining that the first finger vein image is successfully identified; and if the first similarity does not exceed the preset similarity threshold, determining that the first finger vein image identification fails.
In one possible example, in the comparing the first finger vein image with the finger vein template of the first finger to obtain the first similarity, the instructions in the program are specifically configured to: analyzing the distribution of the characteristic points of the first finger vein image; performing circular image interception on the first finger vein image according to M different circle centers to obtain M circular finger vein images, wherein M is an integer larger than 3; selecting a target circular finger vein image from the M circular finger vein images, wherein the number of characteristic points contained in the target circular finger vein image is larger than that of other circular finger vein images in the M circular finger vein images; and performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity.
In one possible example, in the aspect of matching feature points of the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity, the instructions in the program are specifically configured to perform the following operations: when the definition of the target circular finger vein image is not smaller than a preset definition threshold value, matching feature points of all feature points in the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity; when the definition of the target circular finger vein image is smaller than the preset definition threshold, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, and the N types of feature points are different in set weight; and matching the N types of feature points with the finger vein template of the first finger to obtain the first similarity.
In a possible example, the first identification mode further includes auxiliary identification, and before the sending of the unlocking instruction to the door lock control terminal, the instructions in the program are further configured to: acquiring first auxiliary identification information of the user; comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification mode to judge whether the first auxiliary identification information is successfully identified; and determining that the first auxiliary identification information is successfully identified.
In one possible example, the first auxiliary identification information is a first password or a first pattern input by the user, and in the aspect of comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification mode to determine whether the first auxiliary identification information is successfully identified, the instructions in the program are configured to: comparing the first password input by the user with a pre-stored password template; if the first password is the same as the password template, determining that the first auxiliary identification information is successfully identified; if the first password is different from the password template, determining that the first auxiliary identification information fails to be identified; or comparing the first pattern input by the user with a pre-stored pattern template; if the first pattern is the same as the pattern template, determining that the first auxiliary identification information is successfully identified; and if the first pattern is different from the pattern template, determining that the first auxiliary identification information fails to identify.
In one possible example, the first auxiliary identification information is a finger vein image of the first finger when the first finger is bent, and in the aspect of comparing the first auxiliary identification information with the auxiliary identification template corresponding to the first identification mode to determine whether the first auxiliary identification information is successfully identified, the instructions in the program are specifically configured to perform the following operations: acquiring a pre-stored finger vein template when the first finger is bent; comparing the finger vein image when the first finger is bent with the finger vein template when the first finger is bent to obtain a second similarity; judging whether the second similarity exceeds the preset similarity threshold value; if the second similarity exceeds the preset similarity threshold, determining that the first auxiliary identification information is successfully identified; and if the second similarity does not exceed the preset similarity threshold, determining that the first auxiliary identification information fails to be identified.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the mobile terminal includes 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 mobile terminal may be divided into the functional units according to the 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.
Fig. 6 is a block diagram of functional units of a device 600 for controlling a door lock based on finger vein recognition according to an embodiment of the present application. The door lock control device 600 based on the finger vein recognition is applied to a mobile terminal of a door lock control system, the door lock control system further comprises a door lock control terminal, the mobile terminal is provided with a vein recognition module, the mobile terminal establishes communication connection with the door lock control terminal, the door lock control device 600 based on the finger vein recognition comprises a processing unit 601 and a communication unit 602, wherein,
the communication unit 602 is configured to receive an unlocking request from the door lock control terminal, where the unlocking request carries security level information;
the processing unit 601 is configured to search for a first identification manner matched with the security level information from at least one preset identification manner;
the vein recognition module is used for acquiring a first finger vein image of the user;
the finger vein recognition system is used for comparing the first finger vein image with a finger vein template corresponding to the first recognition mode so as to judge whether the first finger vein image is successfully recognized;
the communication unit 602 is further configured to send an unlocking instruction to the door lock control terminal when the first finger vein image is successfully identified, where the unlocking instruction is used to instruct the door lock control terminal to control unlocking.
The device 600 for controlling a door lock based on finger vein recognition may further include a storage unit 603, wherein the storage unit 603 is configured to store program codes and data of the mobile terminal. The processing unit 601 may be a processor, the communication unit 602 may be a touch display screen or a transceiver, and the storage unit 603 may be a memory.
It can be seen that, in the embodiment of the application, the mobile terminal receives an unlocking request from the door lock control terminal, the unlocking request carries security level information, the mobile terminal searches a first identification mode matched with the security level information from at least one preset identification mode, acquires a first finger vein image of a user, compares the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified, and when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the door lock control terminal controls unlocking. Therefore, in the embodiment of the application, the mobile terminal acquires the first finger vein image of the user, judges whether the first finger vein image is successfully identified or not, and can control unlocking only when the identification is successful, different identification modes are set for different security levels, the identification is performed in different modes under different security levels, and the unlocking can be controlled only when the identification is successful.
In one possible example, the first recognition manner includes a finger vein image of a first finger, and in the aspect of comparing the first finger vein image with a finger vein template corresponding to the first recognition manner to determine whether the first finger vein image is successfully recognized, the processing unit 601 is specifically configured to: acquiring a prestored finger vein template of the first finger; comparing the first finger vein image with a finger vein template of the first finger to obtain a first similarity; judging whether the first similarity exceeds a preset similarity threshold value or not; if the first similarity exceeds the preset similarity threshold, determining that the first finger vein image is successfully identified; and if the first similarity does not exceed the preset similarity threshold, determining that the first finger vein image identification fails.
In one possible example, in terms of comparing the first finger vein image with the finger vein template of the first finger to obtain the first similarity, the processing unit 601 is specifically configured to: analyzing the distribution of the characteristic points of the first finger vein image; performing circular image interception on the first finger vein image according to M different circle centers to obtain M circular finger vein images, wherein M is an integer larger than 3; selecting a target circular finger vein image from the M circular finger vein images, wherein the number of characteristic points contained in the target circular finger vein image is larger than that of other circular finger vein images in the M circular finger vein images; and performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity.
In one possible example, in terms of performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity, the processing unit 601 is specifically configured to: when the definition of the target circular finger vein image is not smaller than a preset definition threshold value, matching feature points of all feature points in the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity; when the definition of the target circular finger vein image is smaller than the preset definition threshold, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, and the N types of feature points are different in set weight; and matching the N types of feature points with the finger vein template of the first finger to obtain the first similarity.
In a possible example, the first identification manner further includes auxiliary identification, and before the sending of the unlocking instruction to the door lock control terminal, the processing unit 601 is further specifically configured to: acquiring first auxiliary identification information of the user; comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification mode to judge whether the first auxiliary identification information is successfully identified; and determining that the first auxiliary identification information is successfully identified.
In one possible example, the first auxiliary identification information is a first password or a first pattern input by the user, and in the aspect of comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification manner to determine whether the first auxiliary identification information is successfully identified, the processing unit 601 is specifically configured to: comparing the first password input by the user with a pre-stored password template; if the first password is the same as the password template, determining that the first auxiliary identification information is successfully identified; if the first password is different from the password template, determining that the first auxiliary identification information fails to be identified; or comparing the first pattern input by the user with a pre-stored pattern template; if the first pattern is the same as the pattern template, determining that the first auxiliary identification information is successfully identified; and if the first pattern is different from the pattern template, determining that the first auxiliary identification information fails to identify.
In one possible example, the first auxiliary identification information is a finger vein image when the first finger is bent, and in the aspect of comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification manner to determine whether the first auxiliary identification information is successfully identified, the processing unit 601 is specifically configured to: acquiring a pre-stored finger vein template when the first finger is bent; comparing the finger vein image when the first finger is bent with the finger vein template when the first finger is bent to obtain a second similarity; judging whether the second similarity exceeds the preset similarity threshold value; if the second similarity exceeds the preset similarity threshold, determining that the first auxiliary identification information is successfully identified; and if the second similarity does not exceed the preset similarity threshold, determining that the first auxiliary identification information fails to be identified.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
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.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one 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.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (7)

1. The door lock control method based on finger vein recognition is characterized by being applied to a mobile terminal of a door lock control system, the door lock control system further comprises a door lock control terminal, the mobile terminal is provided with a vein recognition module, the mobile terminal establishes communication connection with the door lock control terminal, and the method comprises the following steps:
receiving an unlocking request from the door lock control terminal, wherein the unlocking request carries safety level information;
searching a first identification mode matched with the safety level information from at least one preset identification mode;
acquiring a first finger vein image of a user through the vein recognition module;
comparing the first finger vein image with a finger vein template corresponding to the first identification mode to judge whether the first finger vein image is successfully identified;
when the first finger vein image is successfully identified, an unlocking instruction is sent to the door lock control terminal, and the unlocking instruction is used for indicating the door lock control terminal to control unlocking;
the first identification mode includes identifying a finger vein image of a first finger, and comparing the first finger vein image with a finger vein template corresponding to the first identification mode to determine whether the first finger vein image is successfully identified, including:
acquiring a prestored finger vein template of the first finger; comparing the first finger vein image with a finger vein template of the first finger to obtain a first similarity; judging whether the first similarity exceeds a preset similarity threshold value or not; if the first similarity exceeds the preset similarity threshold, determining that the first finger vein image is successfully identified;
if the first similarity does not exceed the preset similarity threshold, determining that the first finger vein image identification fails;
wherein the comparing the first finger vein image with the finger vein template of the first finger to obtain a first similarity comprises:
analyzing the distribution of the characteristic points of the first finger vein image;
performing circular image interception on the first finger vein image according to M different circle centers to obtain M circular finger vein images, wherein M is an integer larger than 3;
selecting a target circular finger vein image from the M circular finger vein images, wherein the number of characteristic points contained in the target circular finger vein image is larger than that of other circular finger vein images in the M circular finger vein images;
performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity;
wherein, the performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity comprises:
when the definition of the target circular finger vein image is not smaller than a preset definition threshold value, matching feature points of all feature points in the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity;
when the definition of the target circular finger vein image is smaller than the preset definition threshold, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, and the N types of feature points are different in set weight;
matching the feature points of the N classes of feature points with the finger vein template of the first finger to obtain the first similarity, including: and matching the N types of feature points with the finger vein template of the first finger to obtain N similarity, and synthesizing the N similarity according to the weight of the N types of feature points to obtain the first similarity.
2. The method according to claim 1, wherein the first identification mode further comprises auxiliary identification, and before the unlocking instruction is sent to the door lock control terminal, the method further comprises:
acquiring first auxiliary identification information of the user;
comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification mode to judge whether the first auxiliary identification information is successfully identified;
and determining that the first auxiliary identification information is successfully identified.
3. The method according to claim 2, wherein the first auxiliary identification information is a first password or a first pattern input by the user, and the comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification manner to determine whether the first auxiliary identification information is successfully identified comprises:
comparing the first password input by the user with a pre-stored password template;
if the first password is the same as the password template, determining that the first auxiliary identification information is successfully identified;
if the first password is different from the password template, determining that the first auxiliary identification information fails to be identified;
or comparing the first pattern input by the user with a pre-stored pattern template;
if the first pattern is the same as the pattern template, determining that the first auxiliary identification information is successfully identified;
and if the first pattern is different from the pattern template, determining that the first auxiliary identification information fails to identify.
4. The method according to claim 2, wherein the first auxiliary identification information is a finger vein image when the first finger is bent, and the comparing the first auxiliary identification information with an auxiliary identification template corresponding to the first identification method to determine whether the first auxiliary identification information is successfully identified comprises:
acquiring a pre-stored finger vein template when the first finger is bent;
comparing the finger vein image when the first finger is bent with the finger vein template when the first finger is bent to obtain a second similarity;
judging whether the second similarity exceeds the preset similarity threshold value;
if the second similarity exceeds the preset similarity threshold, determining that the first auxiliary identification information is successfully identified;
and if the second similarity does not exceed the preset similarity threshold, determining that the first auxiliary identification information fails to be identified.
5. A door lock control device based on finger vein recognition is characterized by being applied to a mobile terminal of a door lock control system, the door lock control system further comprises a door lock control terminal, the mobile terminal is provided with a vein recognition module, the mobile terminal establishes communication connection with the door lock control terminal, the device comprises a communication unit and a processing unit, wherein,
the communication unit is used for receiving an unlocking request from the door lock control terminal, and the unlocking request carries safety level information;
the processing unit is used for searching a first identification mode matched with the safety level information from at least one preset identification mode; the vein recognition module is used for acquiring a first finger vein image of the user; the finger vein recognition system is used for comparing the first finger vein image with a finger vein template corresponding to the first recognition mode so as to judge whether the first finger vein image is successfully recognized;
the communication unit is further used for sending an unlocking instruction to the door lock control terminal when the first finger vein image is successfully identified, wherein the unlocking instruction is used for indicating the door lock control terminal to control unlocking;
the first identification mode includes identifying a finger vein image of a first finger, and comparing the first finger vein image with a finger vein template corresponding to the first identification mode to determine whether the first finger vein image is successfully identified, including:
acquiring a prestored finger vein template of the first finger; comparing the first finger vein image with a finger vein template of the first finger to obtain a first similarity; judging whether the first similarity exceeds a preset similarity threshold value or not; if the first similarity exceeds the preset similarity threshold, determining that the first finger vein image is successfully identified;
if the first similarity does not exceed the preset similarity threshold, determining that the first finger vein image identification fails;
wherein the comparing the first finger vein image with the finger vein template of the first finger to obtain a first similarity comprises:
analyzing the distribution of the characteristic points of the first finger vein image;
performing circular image interception on the first finger vein image according to M different circle centers to obtain M circular finger vein images, wherein M is an integer larger than 3;
selecting a target circular finger vein image from the M circular finger vein images, wherein the number of characteristic points contained in the target circular finger vein image is larger than that of other circular finger vein images in the M circular finger vein images;
performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity;
wherein, the performing feature point matching on the target circular finger vein image and the finger vein template of the first finger to obtain the first similarity comprises:
when the definition of the target circular finger vein image is not smaller than a preset definition threshold value, matching feature points of all feature points in the target circular finger vein image with the finger vein template of the first finger to obtain the first similarity;
when the definition of the target circular finger vein image is smaller than the preset definition threshold, dividing all feature points in the target circular finger vein image into N types of feature points, wherein N is an integer larger than 1, and the N types of feature points are different in set weight;
matching the feature points of the N classes of feature points with the finger vein template of the first finger to obtain the first similarity, including: and matching the N types of feature points with the finger vein template of the first finger to obtain N similarity, and synthesizing the N similarity according to the weight of the N types of feature points to obtain the first similarity.
6. A mobile terminal comprising a processor, memory, a communications interface, and one or more programs stored in the memory and configured for execution by the processor, the programs including instructions for performing the steps in the method of any of claims 1 to 4.
7. 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 one of claims 1 to 4.
CN201910550877.0A 2019-06-24 2019-06-24 Door lock control method based on finger vein recognition and related device Active CN110232761B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910550877.0A CN110232761B (en) 2019-06-24 2019-06-24 Door lock control method based on finger vein recognition and related device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910550877.0A CN110232761B (en) 2019-06-24 2019-06-24 Door lock control method based on finger vein recognition and related device

Publications (2)

Publication Number Publication Date
CN110232761A CN110232761A (en) 2019-09-13
CN110232761B true CN110232761B (en) 2021-05-07

Family

ID=67857240

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910550877.0A Active CN110232761B (en) 2019-06-24 2019-06-24 Door lock control method based on finger vein recognition and related device

Country Status (1)

Country Link
CN (1) CN110232761B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111625795A (en) * 2020-05-14 2020-09-04 重庆智脉通科技有限公司 Login authentication system and method based on finger veins
CN113516817A (en) * 2021-07-06 2021-10-19 深圳市联洲国际技术有限公司 Anti-theft device control method and device, electronic equipment and anti-theft device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8675928B2 (en) * 2011-06-14 2014-03-18 Moon J. Kim Multiple charge-coupled biometric sensor array
CN105389879A (en) * 2015-12-25 2016-03-09 成都比善科技开发有限公司 Intelligent entrance guard system and control method thereof
CN106033625A (en) * 2015-03-10 2016-10-19 阿里巴巴集团控股有限公司 Lockset, mobile terminal, lockset control method, and lockset control system
CN107465512A (en) * 2017-07-13 2017-12-12 广东欧珀移动通信有限公司 Authorization processing method and Related product
CN207586942U (en) * 2017-08-29 2018-07-06 广州微盾科技股份有限公司 A kind of finger hand vein recognition module for mobile terminal
CN207892381U (en) * 2018-02-07 2018-09-21 上海享服信息技术有限公司 Based on the intelligent lock system for referring to hand vein recognition
CN109615738A (en) * 2018-11-30 2019-04-12 深圳绿米联创科技有限公司 Door lock management method, device, electronic equipment and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8675928B2 (en) * 2011-06-14 2014-03-18 Moon J. Kim Multiple charge-coupled biometric sensor array
CN106033625A (en) * 2015-03-10 2016-10-19 阿里巴巴集团控股有限公司 Lockset, mobile terminal, lockset control method, and lockset control system
CN105389879A (en) * 2015-12-25 2016-03-09 成都比善科技开发有限公司 Intelligent entrance guard system and control method thereof
CN107465512A (en) * 2017-07-13 2017-12-12 广东欧珀移动通信有限公司 Authorization processing method and Related product
CN207586942U (en) * 2017-08-29 2018-07-06 广州微盾科技股份有限公司 A kind of finger hand vein recognition module for mobile terminal
CN207892381U (en) * 2018-02-07 2018-09-21 上海享服信息技术有限公司 Based on the intelligent lock system for referring to hand vein recognition
CN109615738A (en) * 2018-11-30 2019-04-12 深圳绿米联创科技有限公司 Door lock management method, device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN110232761A (en) 2019-09-13

Similar Documents

Publication Publication Date Title
US11038879B2 (en) Identity authentication method and apparatus, and user equipment
US10496804B2 (en) Fingerprint authentication method and system, and terminal supporting fingerprint authentication
JP5365384B2 (en) User authentication system and computer program therefor
CN104077516A (en) Biometric authentication method and terminal
CN107545160A (en) Fingerprint identification method and device
CN110232761B (en) Door lock control method based on finger vein recognition and related device
CN104580260B (en) A kind of safety method suitable for Intelligent terminal for Internet of things
CN108429879B (en) Electronic apparatus, camera control method, camera control apparatus, and computer-readable storage medium
CN107704759A (en) Control method, device, storage medium and the electronic equipment of sensitive operation
CN105653171A (en) Fingerprint identification based terminal control method, terminal control apparatus and terminal
CN109814964B (en) Interface display method, terminal equipment and computer readable storage medium
WO2021244531A1 (en) Payment method and apparatus based on facial recognition
KR20200045529A (en) Identity authentication methods, devices, servers and computer readable media
WO2016118461A1 (en) Method and apparatus for processing handwriting data
CN110990811A (en) Identity authentication method and device
CN112349009A (en) User identity identification method, device, equipment and computer readable storage medium
CN110084213B (en) Face image processing method and device
CN111966991A (en) Equipment unlocking method, device, equipment and storage medium
CN107451451B (en) Unlocking control method and related product
JP2006260461A (en) Access control system and information processing system using the same
EP3410330B1 (en) Improvements in biometric authentication
WO2018224433A1 (en) Method for authenticating a first user and corresponding first device and system
CN109829279B (en) Unlocking event processing method and related equipment
CN111274563A (en) Security authentication method and related device
CN107493368B (en) Unlocking method and related product

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant