CN114220129A - Identity authentication method and control equipment based on palm print and gesture fusion recognition - Google Patents
Identity authentication method and control equipment based on palm print and gesture fusion recognition Download PDFInfo
- Publication number
- CN114220129A CN114220129A CN202111290850.6A CN202111290850A CN114220129A CN 114220129 A CN114220129 A CN 114220129A CN 202111290850 A CN202111290850 A CN 202111290850A CN 114220129 A CN114220129 A CN 114220129A
- Authority
- CN
- China
- Prior art keywords
- gesture
- user
- palm print
- palm
- acquisition
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention discloses an identity authentication method and control equipment based on palm print and gesture fusion recognition, which comprises the following steps: s1, the user selects to enter a registration mode to input a user name to start registration, the acquisition equipment respectively acquires different palm information and gesture action information characteristics of the user, and the extracted characteristics are stored in the processor to correspond to the registered user name; s2, setting and binding corresponding authority for each palm information and gesture action characteristic by the user; s3, when the user authenticates, the hand is swept through the image acquisition area and the palm or gesture action the same as that during registration is made, the acquisition equipment acquires the image, the acquired image is input into the system for feature extraction, the obtained feature information is compared with the registered user feature information, when the similarity reaches a threshold value, the authentication is prompted to be successful, the corresponding authority is opened, and the acquisition and authentication of the next authority are started in the circulating step S3.
Description
Technical Field
The patent relates to the field of palm print recognition in the field of computer vision, in particular to an identity authentication method and control equipment based on palm print and gesture fusion recognition.
Background
Conventional biometric identification techniques identify and authorize a user by extracting biometric information of the user and comparing it to stored raw biometric information. The biological features are personally identifiable information and belong to individual privacy. In practical use, partial biological features (such as human faces, fingerprints and the like) are collected too simply, and a large leakage risk exists. Therefore, a reasonable and reliable scheme is urgently needed, which not only can guarantee the safety of user information, but also can guarantee the high efficiency and openness of identity authentication.
Due to the influence of epidemic situations, the current two mainstream authentication modes of face authentication and fingerprint authentication face huge challenges. The necessity of wearing the mask during epidemic situations directly causes large-area loss of the characteristic data of the face during face recognition, and the robustness and accuracy of authentication are greatly reduced; the data acquisition and verification process of fingerprint authentication can inevitably generate direct contact, and the less public contact is, the safer the public contact is in daily life at present due to the influence of epidemic situations.
The palm print acquisition requirement is slightly higher, but the uniqueness is better, and the disadvantage is that the palm print acquisition system can be interfered by the environment, the occupation of a user and the like. The gesture authentication method serving as a non-contact recognition method has great advantages in the aspects of collectability, deceptiveness and application cost, and the data collection is similar to the human face data collection, but the privacy of the collected data is better and the acceptability is higher compared with the human face data collection. The two authentication methods are combined, so that the overall performance of the authentication System can be greatly improved, the two authentication methods also mean that more abundant characteristics are used for identity identification to better prove that the authentication System is I, the identification performance is ensured, and meanwhile, the non-contact authentication method well meets the requirements of the current social form and the public psychology (An Online System of Multispectral Palmprint Verification).
Most of the currently practical palm print authentication and gesture authentication devices have the following common problems:
1. the user required for collecting data and authenticating has high degree of matching and takes longer time, which directly causes the complicated user collecting process and easily causes the conflict psychology of the user.
2. The acquisition equipment needs background information input, so that the information circulation is slow, and a user cannot determine the identity registration progress on site.
3. The single gesture collection authentication equipment or the palm print equipment has single function, can only realize single authentication, and cannot realize the application range of the function diversified augmentation equipment.
4. The palm print and gesture identity authentication equipment is large in size, the requirement for hardware installation is increased, and meanwhile the whole equipment is heavy and inconvenient to carry.
5. Most palm print identity authentication systems and gesture identity authentication systems need huge background system support, and corresponding matched hardware and deployment cost are greatly increased.
The prior art can be proved by the current literature and products on the market: shaped products such as amazon's product (palmar pulse recognition only), fuji is bulky and non-swipe, no gesture recognition device based on gesture motion biometrics is available on the market, and the fusion (emphasis) of the two authentication methods is achieved herein.
Disclosure of Invention
Aiming at the problems, the invention discloses non-contact palm print gesture fusion recognition equipment with smaller constraint on a user, and aims to solve the problems of low usability, high data acquisition difficulty, strong functionality and low deployment cost of most of palm print palm vein recognition equipment at present. Meanwhile, the technical vacancy that the existing gesture and other hand characteristics are fused to be used as an identity authentication mode is made up. The method is characterized in that the identity authentication mode under the influence of the existing epidemic situation is operated safely and quickly, and meanwhile, the method as a new authentication mode has better privacy and safety than the original mainstream identity authentication mode (face recognition, fingerprint authentication, single palm print authentication and the like).
The invention is realized by at least one of the following technical schemes.
An identity authentication method based on palm print and gesture fusion recognition comprises the following steps:
s1, the user selects to enter a registration mode to input a user name to start registration, the acquisition equipment acquires different palm information and gesture action information characteristics of the user and stores the extracted characteristics into the processor, and the user characteristics correspond to the registered user name;
s2, setting corresponding authority for each palm information and gesture action characteristic by the user;
s3, when the user authenticates, the hand is swept through an image acquisition area and a palm print or gesture action the same as that during registration is made, the acquisition equipment acquires an image, the acquired image is input into the embedded core board to carry out feature extraction of the palm print or gesture, the obtained feature information is compared with the registered user feature information, and if the similarity reaches a threshold value, the authentication is prompted to be successful, and the corresponding authority is started; and if different authorities need to be opened, continuing authentication.
Preferably, in the authentication process, when the palm of the user sweeps through the image acquisition area for the first time, the first photoelectric switch is activated, the embedded core board starts to work after receiving a signal transmitted by the photoelectric switch, when the palm of the user sweeps through the acquisition area for the second time, the second photoelectric switch is triggered, the photoelectric switch transmits the signal to the controller, the controller controls the equipment light source module to light, when the palm simultaneously covers the two photoelectric switches, the palm of the user is located in the acquisition area, the acquisition equipment acquires the image, if the image is not acquired or the authentication fails, the user sweeps the palm through the image acquisition area again, and the photoelectric switch is triggered to acquire the image again.
Preferably, the palm of the user sweeps in the collection area of the palm print collection camera, collected data are transmitted to the embedded core board, palm print features of the user are extracted, the collected features are compared with palm print features registered by all the users to confirm the identity of the user, and corresponding permission is opened while gesture authentication is started.
Preferably, the user makes registered gestures in the gesture camera acquisition area, acquired data are transmitted to the embedded core board, the motion track and speed characteristics of key points acquired by the hand are extracted, the acquired characteristics and gesture characteristic information during user registration are carried out, after a preset threshold value is reached, gesture verification is prompted to be successful, and corresponding permission is started.
Preferably, the system comprises an identification module, a power supply system for supplying power, a collection device, a light source module and a photoelectric switch assembly;
the photoelectric switch component controls the light of the light source module through the photoelectric signal by the controller and controls the acquisition equipment to acquire images; the identification module authenticates the user through the image acquired by the acquisition equipment; the recognition module comprises a palm print recognition module and a gesture recognition module.
Preferably, the collection equipment comprises a palm print collection camera and a gesture collection camera, the gesture collection camera is fixed through a gesture camera support, and the palm print collection camera is located under the gesture collection camera.
Preferably, the photoelectric switch assembly comprises a first photoelectric switch and a second photoelectric switch, and the second photoelectric switch and the first photoelectric switch are respectively located on two sides of the palm print acquisition camera.
Preferably, the light source module adopts an active light source with the wavelength of 390nm-410 nm.
Preferably, the light source module includes 6 or more active light source lamps, and each of the active light source lamps emits a light source wide angle of 120 ° ± 2 °.
Preferably, optical filters corresponding to 390nm-410nm are added in the palm print acquisition camera and the gesture acquisition camera.
Compared with the prior art, the invention has the beneficial effects that:
compared with the prior art, the palm print authentication method has the advantages that two high-precision authentication methods of palm print authentication and gesture authentication are fused, the identity authentication system fusing the palm print authentication and the gesture authentication fully utilizes the uniqueness of each individual palm print, and the palm print part is captured by the high-definition camera and then is input into the system for identification by utilizing the characteristic that the area of the fingerprint is larger and the non-contact identification is more convenient. And if the palm print part identification is passed, starting a second-layer gesture authentication process. The gesture authentication also captures the motion of characteristic points of the hands of a person, inputs the motion into a convolutional neural network for characteristic extraction, and compares the motion characteristic information with gesture motion characteristic information extracted during registration to complete identity authentication, so that the function of multiple identity authentication is realized, and the hierarchical management of authority can be realized by means of the multiple identity authentication;
meanwhile, the equipment is fully opened, and can be transversely scanned to acquire and authenticate, so that the acceptability and the comfort of the invention are greatly improved. The materialized hardware equipment of the invention has a small body, is the identity authentication equipment which has the smallest volume, integrates palm print and gesture authentication functions and can be operated by a single machine or on line at present.
Drawings
Fig. 1 is a light source arrangement diagram of an identity authentication and control device based on palm print and gesture fusion recognition according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the relationship between the identity authentication and control device based on the palm print and gesture fusion recognition according to the embodiment of the present invention;
FIG. 3 is a structural diagram of an identity authentication and control device based on palm print and gesture fusion recognition according to an embodiment of the present invention;
FIG. 4 is a flowchart of an identity authentication process based on palm print and gesture fusion recognition according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating collecting of palm print information by horizontal scan according to an embodiment of the present invention;
the system comprises a 1-gesture collection camera, a 2-gesture camera support, a 3-light source upper cover, a 4-light source module, a 5-palm print collection camera, a 6-first photoelectric switch, a 7-second photoelectric switch, an 8-interface circuit board, a 9-embedded core board and a 10-shell.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
As shown in fig. 3, the identity authentication control device based on palm print and gesture fusion recognition includes a housing 10, a palm print recognition module and a gesture recognition module, a power supply system for supplying power, a collection device, a light source module 4 for assisting collection of the collection device, an HMI configuration screen, a photoelectric switch assembly, an embedded core board, and an interface circuit board 8. The housing 10 is 120mm x 60mm in size. The logical relationship between the modules is illustrated in fig. 2 below.
The light source module 4 is packaged in the upper cover of the light source of the device.
The photoelectric switch assembly comprises a first photoelectric switch 6 and a second photoelectric switch 7, the photoelectric switch assembly is used as a starting switch of the authentication control equipment, whether a palm passes through the authentication control equipment is detected, and if the palm passes through the authentication control equipment, a signal is transmitted to the processor to start the camera to shoot.
Gather the equipment and gather camera 5 and gesture including the palm print and gather camera 1, camera 1 is gathered to the gesture passes through gesture camera support 2 and fixes on shell 10, camera 5 is gathered to the palm print is located shell 10 upper surface. The palm print acquisition camera 5 is fixed in the shell 10 and is positioned right below the gesture acquisition camera 1, and the second photoelectric switch 7 and the first photoelectric switch 6 are respectively positioned at two sides of the palm print acquisition camera 5; when the user palm sweeps the image acquisition region for the first time (gesture collection camera 1), activate first photoelectric switch 6, embedded core plate 9 receives the signal of photoelectric switch transmission then begins work, when the user palm sweeps the acquisition region for the second time, trigger second photoelectric switch 7, photoelectric switch transmits the signal to the controller, controller controlgear light source module lights, shelter from two photoelectric switches simultaneously when the palm, show that user palm is in the acquisition region, acquisition device gathers the image.
The gesture camera support is used for supporting the gesture collection camera 1 and protecting a data line which connects the gesture collection camera 1 and the interface circuit board 8.
The interface circuit board 8 is fixed in the housing 10 and used for connecting the embedded core board 9 and other hardware, and the interface division area of the embedded core board 9 is used for connecting each hardware. Specifically, the palm print collecting camera 5 is connected to the interface circuit board 8 through a data power line and fixed on the interface circuit board. The second photoelectric switch 7 and the first photoelectric switch 6 are connected to the interface circuit board through a data power line and fixed on the interface circuit board.
The embedded core board 9 is fixedly connected with a base on the interface circuit board through pins, is used for controlling the operation of the whole device and realizing the functions of feature extraction, operation and the like, and the light source module 4 is connected with the embedded core board through a power line;
the HMI configuration screen: a user interface is displayed for interacting with a user.
The identity authentication control equipment also comprises an audio SC8002B power amplifier, a Bluetooth and WIFI module, a TF card storage and a memory; an audio SC8002B power amplifier is used to prompt the user for the authentication process or authentication completion status. The Bluetooth and WIFI module is used for wireless communication of the equipment. The TF card stores data for storing algorithms and users. The memory is used for algorithm operation to temporarily store operation data in the processor and data exchanged with the TF card, and the memory is a bridge for communicating the processor with the outside.
The light source module 4 adopts an active light source of 390nm-410nm, the reflection degree of light with wavelength around 390nm-410nm is greatly different between the ravine part and the non-ravine part, and the palm is illuminated by 390nm-410nm light to separate the ravine area from the non-ravine area, so that the palm veins can be more clearly extracted from the image.
The light source module 4 obtained after experimental tests includes 6 active light source lamps (i.e., No. 1 to No. 6 active light source lamps in fig. 1), a wide angle of a light source emitted by each active light source lamp is 120 °, a distance between No. 1 and No. 2 light sources is 40mm, No. 5 and No. 4 active light sources are symmetrical with respect to a camera hole, a distance between No. 3 and No. 6 light sources is 117mm, and included angles of No. 1, 6, and No. 5 light sources are 90 °, and No. 2, No. 3, and No. 4 light sources are symmetrical with respect to the camera hole. When the palm is 50mm to 150mm away from the camera, the active light source can fully cover the palm, so that the palm picture can be conveniently acquired.
The palm print acquisition camera is also additionally provided with a filter corresponding to 390nm-410 nm. The palm veins on the palm are sunken veins (hereinafter referred to as gully parts) generated by everyone in nature, the reflection degree of the gully parts and the non-gully parts to light with wavelength of about 390nm-410nm is greatly different, and the gully areas and the non-gully areas can be separated by illuminating the palm with light with a specific wavelength, so that the palm veins can be extracted from the image more clearly.
The controller adopted in this embodiment is an I2C controller or a UART controller, and the processor is a USB FIFO processor.
As shown in fig. 4, the identity authentication method based on palm print and gesture fusion recognition of the present invention includes a annotating process and an authentication process, and specifically includes the following steps:
and S1, the user firstly slides the palm across the device acquisition area, and the photoelectric switch is triggered to activate the system, so that the system enters a working mode from a standby mode. The HMI configuration screen lights up a display UI interface, a user selects to enter a registration mode to input a user name to start registration, a photoelectric switch (serving as a data acquisition switch) transmits a detection signal into a processor, the processor controls a palm print acquisition camera to capture a palm picture, the acquired picture is transmitted into the processor to perform feature extraction, the acquired picture is deleted after extraction is completed, and the extracted palm print feature is stored in the processor to correspond to the registered user name;
s2, after palm print authentication information is stored, acquiring gesture authentication information is started, a user makes corresponding gesture actions towards the gesture acquisition camera 1, moves a hand out of an acquisition range to finish acquisition for one time, moves the hand into the acquisition range of the gesture acquisition camera 1 again to make the same gesture actions, the camera 1 inputs gesture action information acquired during registration into a gesture authentication system, extracts hand action characteristic information and stores the extracted hand action characteristic information into a characteristic library to correspond to a registered user name, and acquired gesture data are deleted to finish a registration process;
s3, authentication process: the user sweeps the palm from the device image acquisition area, activates the photoelectric switch (the photoelectric switch is triggered for the first time when the system is in a standby state), and the embedded core board receives a signal transmitted by the photoelectric switch and starts working. When the user sweeps the collection area for the second time, the photoelectric switch is triggered (at this time, the system is started, and the photoelectric switch is used as a camera collection switch), the photoelectric switch transmits a signal to the controller, and the controller controls the device light source module 4 to light up. When the palm shelters from two photoelectric switches simultaneously, show that palm is in the acquisition region, and palm print acquisition camera begins to gather the image. If the image is not acquired or the authentication fails and needs to be re-authenticated, the user can sweep the palm of the hand over the image acquisition area again and trigger the photoelectric switch to acquire the image again.
And S4, inputting the collected image into the embedded core board for palm print feature extraction, deleting the image after feature extraction and reserving feature information, and comparing the obtained feature information with the registered user feature information. When the similarity reaches a certain threshold value, the palm print authentication is prompted to be successful, and the gesture authentication is started while part of the authority is started.
S5, if the user needs to obtain further authority, the gesture authentication is needed, and the gesture authentication mode is as follows: the user makes registered gestures in the gesture collection camera 1 collection area, collected data are transmitted to the embedded core board, motion tracks and speed features of key points of fingertips and finger joints collected by the hand are extracted, the collected features are compared with gesture actions registered by the user, after a preset threshold value is reached, gesture verification is prompted to be successful, and corresponding permission is opened. The opening authority can be set according to the requirements of users, for example, corresponding hardware controllers are bound to control the opening and closing of hardware devices such as doors, windows and computers. The image acquired by collecting the palm print information in the horizontal scan is obtained by the adaptive threshold segmentation method as shown in fig. 5
The identity authentication method is integrated in the embedded core board 9, and the integration of the storage function is realized. The system can work in a single machine off-line mode and can work in a networking mode without a powerful background system. The cost required by equipment deployment can be greatly reduced, and the application range of the equipment is wider.
The invention adopts the scanning type palm print information acquisition and identity authentication, utilizes the photoelectric switch to trigger the camera to take a picture for information acquisition, and can ensure that the palm is positioned in the camera acquisition area when the camera acquires. The collection and the identity authentication are carried out in a transverse scanning mode, so that the comfort degree of a user in use and the acceptability of equipment can be increased as much as possible. The system can also directly register and authenticate through equipment without independently operating and inputting information in a background, so that a user can complete registration and authentication on the spot, and the communication cost and the workload of the rolling and inlaying staff are greatly reduced.
The invention integrates two authentication modes of palm print identity authentication and gesture authentication, and can complete diversified functions through two authorities, as follows: the palm print can be used as a first-layer identity authentication module to bind the authority 1, and when the palm print passes the identity authentication, the user can obtain the authority 1; the gesture authentication can be used as a second-layer identity authentication module to bind the authority 2, and the authority 2 can be obtained after the gesture authentication is completed. And each level of authority can bind various gate machines, gates, computers and other controller equipment according to the requirements of customers during the deployment of the equipment. The hierarchical management of the authority is realized through the deployment of the above example, and the safety of the use department is improved.
The foregoing is only illustrative of the embodiments of the present invention and application of the technical principles. The present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described by the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and is not limited to the embodiments.
Claims (10)
1. An identity authentication method based on palm print and gesture fusion recognition is characterized by comprising the following steps:
s1, the user selects to enter a registration mode to input a user name to start registration, the acquisition equipment acquires different palm information and gesture action information characteristics of the user and stores the extracted characteristics into the processor, and the user characteristics correspond to the registered user name;
s2, setting corresponding authority for each palm information and gesture action characteristic by the user;
s3, when the user authenticates, the hand is swept through an image acquisition area and a palm print or gesture action the same as that during registration is made, the acquisition equipment acquires an image, the acquired image is input into the embedded core board to carry out feature extraction of the palm print or gesture, the obtained feature information is compared with the registered user feature information, and if the similarity reaches a threshold value, the authentication is prompted to be successful, and the corresponding authority is started; and if different authorities need to be opened, continuing authentication.
2. The identity authentication method based on palm print and gesture fusion recognition of claim 1, wherein in the authentication process, when the palm of the user sweeps the image acquisition area for the first time, the first photoelectric switch is activated, the embedded core board starts to operate after receiving the signal transmitted by the photoelectric switch, when the palm of the user sweeps the acquisition area for the second time, the second photoelectric switch is triggered, the photoelectric switch transmits the signal to the controller, the controller controls the device light source module to light up, when the palm simultaneously shields the two photoelectric switches, the palm of the user is in the acquisition area, the acquisition device acquires the image, if the image is not acquired or the authentication fails, the user sweeps the palm again over the image acquisition area, and the photoelectric switch is triggered to acquire the image again.
3. The identity authentication method based on palm print and gesture fusion recognition of claim 1, wherein the palm print identity authentication mode is as follows: the palm of a user sweeps in a palm print acquisition camera acquisition area, acquired data are transmitted to the embedded core board, palm print characteristics of the user are extracted, the acquired characteristics are compared with palm print characteristics registered by all users to confirm the identity of the user, and corresponding permission is opened while gesture authentication is started.
4. The identity authentication method based on palm print and gesture fusion recognition of claim 1, wherein the gesture action authentication mode is as follows: the user makes registered gestures in a gesture camera acquisition area, acquired data are transmitted to the embedded core board, motion tracks and speed features of key points acquired by the hand are extracted, the acquired features and gesture feature information during user registration are processed, after a preset threshold value is reached, gesture verification is prompted to be successful, and corresponding permission is opened.
5. The control equipment of the identity authentication method based on the palm print and gesture fusion recognition comprises a shell, and is characterized by comprising a recognition module, a power supply system for supplying power, a collection device, a light source module and a photoelectric switch assembly;
the photoelectric switch component controls the light of the light source module through the photoelectric signal by the controller and controls the acquisition equipment to acquire images; the identification module authenticates the user through the image acquired by the acquisition equipment; the recognition module comprises a palm print recognition module and a gesture recognition module.
6. The control device of the identity authentication method based on palm print and gesture fusion recognition comprises a shell and is characterized in that the acquisition device comprises a palm print acquisition camera and a gesture acquisition camera, the gesture acquisition camera is fixed through a gesture camera support, and the palm print acquisition camera is located right below the gesture acquisition camera.
7. The control device of the identity authentication method based on the palm print and gesture fusion recognition comprises a shell, and is characterized in that the photoelectric switch assembly comprises a first photoelectric switch and a second photoelectric switch, and the second photoelectric switch and the first photoelectric switch are respectively positioned on two sides of the palm print acquisition camera.
8. The control device of the identity authentication method based on the palm print and gesture fusion recognition is characterized in that the light source module (4) adopts an active light source with the wavelength of 390nm-410 nm.
9. The control device of the palm print and gesture fusion recognition-based identity authentication method according to claim 5, wherein the light source module (4) comprises more than 6 active light source lamps, and the wide angle of the light source emitted by each active light source lamp is 120 ° ± 2 °.
10. The control device of the identity authentication method based on palm print and gesture fusion recognition as claimed in claim 6, wherein a filter corresponding to 390nm-410nm is added in the palm print collecting camera and the gesture collecting camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111290850.6A CN114220129A (en) | 2021-11-02 | 2021-11-02 | Identity authentication method and control equipment based on palm print and gesture fusion recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111290850.6A CN114220129A (en) | 2021-11-02 | 2021-11-02 | Identity authentication method and control equipment based on palm print and gesture fusion recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114220129A true CN114220129A (en) | 2022-03-22 |
Family
ID=80696602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111290850.6A Pending CN114220129A (en) | 2021-11-02 | 2021-11-02 | Identity authentication method and control equipment based on palm print and gesture fusion recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114220129A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116071862A (en) * | 2022-12-16 | 2023-05-05 | 北京声智科技有限公司 | Pass verification method, pass verification device, electronic equipment, pass verification system and readable storage medium |
-
2021
- 2021-11-02 CN CN202111290850.6A patent/CN114220129A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116071862A (en) * | 2022-12-16 | 2023-05-05 | 北京声智科技有限公司 | Pass verification method, pass verification device, electronic equipment, pass verification system and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10032327B1 (en) | Access control system with facial recognition and unlocking method thereof | |
| KR100862916B1 (en) | Apparatus and Method for Recognizing Fingerprint Dualy | |
| WO2019080578A1 (en) | 3d face identity authentication method and apparatus | |
| EP3171294B1 (en) | Information processing apparatus, biometric authentication method, and biometric authentication program | |
| CN104933344A (en) | Mobile terminal user identity authentication device and method based on multiple biological feature modals | |
| CN203366348U (en) | Face recognition system and entrance guard system | |
| CN105447371A (en) | Biological identity identification and verification terminal and electronic system | |
| US11163972B2 (en) | Convergent biometric authentication method based on finger joint and finger vein, and apparatus therefor | |
| CN204791017U (en) | Mobile terminal users authentication device based on many biological characteristics mode | |
| US9100582B2 (en) | Image capturing method and image capturing apparatus for illuminating subject | |
| CN105426730A (en) | Login authentication processing method and device as well as terminal equipment | |
| CN103336950A (en) | Human face identification method and system | |
| KR101875182B1 (en) | System for relaying financial transaction with multiple safety function and method for processing thereof | |
| CN114220129A (en) | Identity authentication method and control equipment based on palm print and gesture fusion recognition | |
| WO2017173639A1 (en) | Personal recognition device and method on the basis of multi-mode biological recognition information | |
| KR102024372B1 (en) | System for dealing a digital currency with block chain matching biometric identification | |
| KR101286750B1 (en) | Password estimation system using gesture. | |
| KR20080020343A (en) | Fingerprint recogniton inputting apparatus and mobile terminal having the same | |
| Lee et al. | A new mobile multimodal biometric device integrating finger vein and fingerprint recognition | |
| KR102089618B1 (en) | Method and system for collecting means of publictransportation fares using bi0-information | |
| CN201867879U (en) | Integrated identity authentication access control terminal | |
| TWI429818B (en) | Electronic lock apparatus | |
| Patil et al. | Iris recognition using fuzzy system | |
| CN218332579U (en) | Equipment is verified to civilian identity | |
| CN219916374U (en) | Palm print and palm vein image acquisition equipment |
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 |