CN114926878A - Non-monitoring remote face recognition method based on one-object-one-code corresponding scene - Google Patents
Non-monitoring remote face recognition method based on one-object-one-code corresponding scene Download PDFInfo
- Publication number
- CN114926878A CN114926878A CN202210523824.1A CN202210523824A CN114926878A CN 114926878 A CN114926878 A CN 114926878A CN 202210523824 A CN202210523824 A CN 202210523824A CN 114926878 A CN114926878 A CN 114926878A
- Authority
- CN
- China
- Prior art keywords
- service terminal
- face
- commodity
- face recognition
- mobile equipment
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000012795 verification Methods 0.000 claims description 17
- 239000013589 supplement Substances 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 239000000047 product Substances 0.000 claims 3
- 210000000554 iris Anatomy 0.000 description 31
- 238000010586 diagram Methods 0.000 description 3
- 210000000744 eyelid Anatomy 0.000 description 3
- 210000000887 face Anatomy 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 210000001747 pupil Anatomy 0.000 description 2
- 210000003786 sclera Anatomy 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/10—Network architectures or network communication protocols for network security for controlling access to devices or network resources
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- Ophthalmology & Optometry (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention belongs to the technical field of consumption anti-counterfeiting, and particularly relates to a non-monitoring remote face recognition method based on a one-object-one-code corresponding scene.
Description
Technical Field
The invention belongs to the technical field of consumption anti-counterfeiting, and particularly relates to a non-monitoring remote face recognition method based on a one-object-one-code corresponding scene.
Background
Face recognition is a biometric technology for identity recognition based on facial feature information of a person. The method comprises the steps of collecting images or video streams containing human faces by using a camera or a camera, automatically detecting and tracking the human faces in the images, and further carrying out a series of related technologies of face recognition on the detected human faces, generally called face recognition and face recognition.
However, the following problems still exist:
1. in the prior art, the commodity information is incompletely recorded, and a combination of a real commodity code and a fake commodity is used for sale;
2. the safety level of the face recognition in the prior art cannot be adjusted.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a non-monitoring remote face recognition method based on an object-code corresponding scene, which is used for solving the problems that the commodity information record is incomplete, the combination sale of a real commodity code and a fake commodity is used and the like in the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
non-monitoring remote face recognition method based on one-object-one-code corresponding scene
S1, splitting the commodity picture into a plurality of parts, coding the plurality of parts of the commodity according to a binary rule to generate an attribute comparison table, storing the attribute comparison table into a database of the service terminal, and generating a commodity exclusive identification code by the service terminal according to the attribute comparison table;
s2, the consumer scans the commodity identification code through the mobile device, the service terminal returns commodity data, then the mobile device is used for photographing the commodity and uploading the commodity to the service terminal, the service terminal compares the commodity attribute comparison table with the uploaded commodity picture in the database, and the next link is entered after double verification;
s3, acquiring a face image of a consumer through mobile equipment, uploading the face image acquired in real time to a service terminal through the mobile equipment, carrying out block comparison on real-time face data and face data acquired in advance through the service terminal, and entering the next link after the comparison is successful;
s4, the service terminal extracts the real-time position of the mobile equipment and compares the real-time position with the commodity prestoring position, when the distance between the real-time position of the mobile equipment and the commodity prestoring position is less than 1km, the verification is passed and a payment link is entered, and if the verification is not passed, an error interface is returned to the mobile equipment;
and S5, after the verification is passed, the service terminal issues identity information corresponding to the recognized face image in the database to the mobile equipment terminal, and the consumer confirms payment after verification.
Further, the step of pre-collecting the face data in S3 is as follows:
s3-1, acquiring a face image of a consumer through mobile equipment, preprocessing the face image to obtain a clear face image, and extracting face key information from the face image;
and S3-2, uploading the key information of the face and the corresponding identity information to a service terminal database, and binding the key information of the face and the corresponding identity information.
Further, the key information of the human face comprises an eye region and a lip region. At least one of a nose region and a jaw region.
The image of a certain block in the face image to be recognized is respectively compared with the corresponding blocks in the face feature block library, so that the calculated amount can be obviously reduced, the whole corresponding time is improved, meanwhile, the setting is carried out according to the safety level, the face recognition safety coefficient is increased by improving the block comparison and the block number, and the situation of error recognition is avoided.
Further, the key information of the human face also comprises iris data.
Using an infrared camera to shoot the whole eye of a person, transmitting the shot image to image preprocessing software of an iris recognition system, processing the obtained iris image to meet the requirement of extracting iris characteristics, determining the positions of an inner circle, an outer circle and a quadratic curve in the image, wherein the inner circle is the boundary between the iris and a pupil, the outer circle is the boundary between the iris and a sclera, the quadratic curve is the boundary between the iris and upper and lower eyelids, adjusting the size of the iris in the image to a fixed size set by the recognition system, processing the brightness, the contrast, the smoothness and the like aiming at the normalized image, improving the recognition rate of iris information in the image, extracting characteristic points required by iris recognition from the iris image by adopting a specific algorithm, coding the characteristic points, matching the characteristic codes obtained by characteristic extraction with the characteristic codes of the iris image in a database one by one, whether the irises are the same or not is judged, so that the purpose of identity recognition is achieved, the iris recognition device is convenient for a user to use, does not need physical contact, and is high in recognition accuracy.
Furthermore, when face data are collected in advance, a light supplement window is arranged on the screen of the mobile device, and the light supplement window is consistent with the coordinates of the face recognition frame of the camera of the mobile device.
Furthermore, the area of the light supplement window is 1.4-2 times larger than that of the face recognition frame.
Through from the light filling, make equipment can very big reduction ambient light bring when gathering the face image interference.
Further, when the consumer scans the goods identification code through the mobile device in step S2, before the service terminal returns the goods data, the service terminal determines whether the mobile device request is legal, if so, the service terminal returns the goods identification code data to the mobile device, and if not, the service terminal returns an error page to the mobile device.
Further, the service terminal judges whether the mobile equipment request is legal or not, including whether the IP address of the mobile equipment is legal or not, and the IP of the external network cannot be accessed.
Further, the service terminal judges whether the mobile equipment request is legal or not and the server judges whether the request is legal or not according to the user name information and the user name password information.
Compared with the prior art, the invention has the following beneficial effects: the goods picture is split into a plurality of parts to generate attribute data at the time of goods prestoring, when a consumer scans a code to obtain goods information, the goods data is determined according to a two-dimensional code, the local information of the goods picture is gradually compared with a prestored attribute comparison table, the object code is guaranteed to correspond, face recognition is carried out on the consumer after the information of the goods is determined, the consumption information of the consumer is recorded, the operation is guaranteed to be the operation of the consumer, some controlled goods are sold, and the safe circulation and the data recording of the controlled goods are guaranteed through the multi-verification purchasing mode.
Drawings
FIG. 1 is a schematic diagram illustrating a non-monitoring remote face recognition method based on an object-code correspondence scenario according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a principle of acquiring a commodity exclusive identification code in an embodiment of a non-monitoring remote face recognition method based on a scene corresponding to an object-code according to the present invention;
FIG. 3 is a schematic diagram of a face data acquisition principle in an embodiment of a non-monitoring remote face recognition method based on an object-code correspondence scenario according to the present invention;
Detailed Description
In order that those skilled in the art may better understand the present invention, the following technical solutions are further described in conjunction with the accompanying drawings and examples:
it should be noted that the same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "inner", "outer", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not indicated or implied that the referred device or element must have a specific orientation, be constructed in a specific orientation and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limitations of the present patent, and the specific meanings of the terms may be understood by those skilled in the art according to specific situations.
In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature.
In the description of the present invention, unless otherwise explicitly specified or limited, the term "connected" or the like, if appearing to indicate a connection relationship between components, is to be understood broadly, for example, as being either fixedly connected, detachably connected, or integrated; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or may be connected through one or more other components or may be in an interactive relationship with one another. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Examples
As shown in fig. 1 to 3, a non-monitoring remote face recognition method based on an object-code correspondence scene:
s1, splitting the commodity picture into a plurality of parts, coding the plurality of parts of the commodity according to a binary rule to generate an attribute comparison table, storing the attribute comparison table into a database of the service terminal, and generating a commodity exclusive identification code by the service terminal according to the attribute comparison table;
s2, the consumer scans the commodity identification code through the mobile device, the service terminal returns commodity data, then the mobile device is used for photographing the commodity and uploading the commodity to the service terminal, the service terminal compares the commodity attribute comparison table with the uploaded commodity picture in the database, and the next link is entered after double verification;
s3, acquiring a face image of a consumer through mobile equipment, uploading the face image acquired in real time to a service terminal through the mobile equipment, carrying out block comparison on real-time face data and face data acquired in advance through the service terminal, and entering the next link after the comparison is successful;
s4, the service terminal extracts the real-time position of the mobile equipment and compares the real-time position with the commodity prestoring position, when the distance between the real-time position of the mobile equipment and the commodity prestoring position is less than 1km, the verification is passed and a payment link is entered, and if the verification is not passed, an error interface is returned to the mobile equipment;
and S5, after the verification is passed, the service terminal issues identity information corresponding to the recognized face image in the database to the mobile equipment terminal, and the consumer confirms payment after verification.
The commodity picture is split into the plurality of parts to generate attribute data at the commodity prestoring time, the commodity data is determined according to the two-dimensional code when a consumer scans the code to obtain commodity information, the local information of the commodity picture is gradually compared with a prestoring attribute comparison table, the object code is guaranteed to correspond, the face recognition is carried out on the consumer after the information of the commodity is determined, the consumption information of the consumer is recorded, the operation of the consumer is guaranteed, some controlled commodities are sold, and the safety circulation and the data recording of the controlled commodities are guaranteed through the multi-verification purchase mode.
The face data pre-acquisition step in the step S3 is as follows:
s3-1, acquiring a face image of a consumer through mobile equipment, preprocessing the face image to obtain a clear face image, and extracting face key information from the face image;
and S3-2, uploading the face key information and the corresponding identity information to a service terminal database, and binding the face key information and the corresponding identity information.
The key information of the human face comprises an eye region and a lip region. At least one of a nose region and a jaw region.
The image of a certain block in the face image to be recognized is compared with the corresponding block in the face feature block library respectively, so that the calculated amount can be obviously reduced, the whole corresponding time is improved, meanwhile, the setting is carried out according to the safety level, the face recognition safety coefficient can be increased through improving the block comparison and the block number, and the situation of error recognition is avoided.
The face key information also includes iris data.
The method comprises the steps of shooting the whole eye of a person by using an infrared camera, transmitting the shot image to image preprocessing software of an iris recognition system, processing the obtained iris image as follows to meet the requirement of extracting iris features, and determining the positions of an inner circle, an outer circle and a quadratic curve in the image. The iris identification method comprises the steps of obtaining an iris image, obtaining a characteristic code, obtaining a secondary curve, obtaining an iris image characteristic code, obtaining an inner circle, an outer circle, a secondary curve and a specific algorithm, wherein the inner circle is the boundary between the iris and a pupil, the outer circle is the boundary between the iris and a sclera, the secondary curve is the boundary between the iris and an upper eyelid and a lower eyelid, the size of the iris in the image is adjusted to a fixed size set by an identification system, brightness, contrast, smoothness and the like are processed aiming at the normalized image, the identification rate of iris information in the image is improved, the characteristic points required by iris identification are extracted from the iris image by adopting the specific algorithm and are coded, the characteristic code obtained by characteristic extraction is matched with the iris image characteristic code in a database one by one, and whether the iris images are the same or not is judged, so that the purpose of identity identification is achieved, the iris identification method is convenient for users to use, does not need physical contact, and the identification accuracy is high.
When face data is collected in advance, a light supplement window is arranged on a screen of the mobile device, and the light supplement window is consistent with the coordinates of a face recognition frame of a camera of the mobile device.
The area of the light supplement window is 1.4-2 times larger than that of the face recognition frame.
Through the self-light supplement, the interference brought by the ambient light can be greatly reduced when the face image is collected by the equipment.
When the consumer scans the commodity identification code through the mobile device in step S2, before the service terminal returns the commodity data, the service terminal determines whether the mobile device request is legal, if so, the service terminal returns the commodity identification code data to the mobile device, and if not, the service terminal returns an error page to the mobile device.
The service terminal judges whether the mobile equipment request is legal or not, including whether the IP address of the mobile equipment is legal or not, and the IP of the external network cannot be accessed.
The service terminal judges whether the mobile equipment request is legal or not and the server judges whether the request is legal or not according to the user name information and the user name password information.
The foregoing are embodiments of the present invention and are not intended to limit the scope of the invention to the particular forms set forth in the specification, which are set forth in the claims below, but rather are to be construed as the full breadth and scope of the claims, as defined by the appended claims, as defined in the appended claims, in order to provide a thorough understanding of the present invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several variations and modifications can be made, which should also be considered as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (9)
1. A non-monitoring remote face recognition method based on an object-code corresponding scene is characterized in that:
s1, splitting the commodity picture into a plurality of parts, coding the plurality of parts of the commodity according to a binary rule to generate an attribute comparison table, storing the attribute comparison table into a database of the service terminal, and generating a commodity exclusive identification code by the service terminal according to the attribute comparison table;
s2, the consumer scans the commodity identification code through the mobile device, the service terminal returns commodity data, then the mobile device is used for photographing the commodity and uploading the commodity to the service terminal, the service terminal compares the commodity attribute comparison table with the uploaded commodity picture in the database, and the next link is entered after double verification;
s3, acquiring a face image of a consumer through mobile equipment, uploading the face image acquired in real time to a service terminal through the mobile equipment, carrying out block comparison on real-time face data and face data acquired in advance through the service terminal, and entering the next link after the comparison is successful;
s4, the service terminal extracts the real-time position of the mobile equipment and compares the real-time position with a commodity prestoring position, when the distance between the real-time position of the mobile equipment and the commodity prestoring position is less than 1km, the verification is passed and a payment link is entered, and if the verification is not passed, an error interface is returned to the mobile equipment;
and S5, after the verification is passed, the service terminal issues identity information corresponding to the recognized face image in the database to the mobile equipment terminal, and the consumer confirms payment after verification.
2. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 2, characterized in that: the face data pre-acquisition step in the step S3 is as follows:
s3-1, acquiring a face image of a consumer through mobile equipment, preprocessing the face image to obtain a clear face image, and extracting face key information from the face image;
and S3-2, uploading the key information of the face and the corresponding identity information to a service terminal database, and binding the key information of the face and the corresponding identity information.
3. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 2, characterized in that: the face key information includes at least one of an eye region, a lip region, a nose region, and a jaw region.
4. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 2, characterized in that: the face key information also includes iris data.
5. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 2, characterized in that: when face data is collected in advance, a light supplement window is arranged on a screen of the mobile device, and the light supplement window is consistent with the coordinates of a face recognition frame of a camera of the mobile device.
6. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 5, characterized in that: the area of the light supplement window is 1.4-2 times larger than that of the face recognition frame.
7. The non-monitoring remote face recognition method based on the one-object-one-code corresponding scene according to claim 6, characterized in that: in step S2, when the consumer scans the product identification code through the mobile device, the service terminal determines whether the mobile device request is legal before the service terminal returns product data, if yes, the service terminal returns product identification code data to the mobile device, and if not, the service terminal returns an error page to the mobile device.
8. The method according to claim 7, wherein the method for non-monitoring remote face recognition based on an object-code correspondence scene is characterized in that: the service terminal judges whether the mobile equipment request is legal or not, including whether the IP address of the mobile equipment is legal or not, and the IP of the external network cannot be accessed.
9. The method according to claim 7, wherein the method for non-monitoring remote face recognition based on an object-code correspondence scene is characterized in that: the service terminal judges whether the mobile equipment request is legal or not and the server judges whether the request is legal or not according to the user name information and the user name password information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210523824.1A CN114926878A (en) | 2022-05-13 | 2022-05-13 | Non-monitoring remote face recognition method based on one-object-one-code corresponding scene |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210523824.1A CN114926878A (en) | 2022-05-13 | 2022-05-13 | Non-monitoring remote face recognition method based on one-object-one-code corresponding scene |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114926878A true CN114926878A (en) | 2022-08-19 |
Family
ID=82809181
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210523824.1A Withdrawn CN114926878A (en) | 2022-05-13 | 2022-05-13 | Non-monitoring remote face recognition method based on one-object-one-code corresponding scene |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114926878A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117196658A (en) * | 2023-11-03 | 2023-12-08 | 深圳市易图资讯股份有限公司 | Market economic information management system and method based on data analysis |
-
2022
- 2022-05-13 CN CN202210523824.1A patent/CN114926878A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117196658A (en) * | 2023-11-03 | 2023-12-08 | 深圳市易图资讯股份有限公司 | Market economic information management system and method based on data analysis |
| CN117196658B (en) * | 2023-11-03 | 2024-02-02 | 深圳市易图资讯股份有限公司 | Market economic information management system and method based on data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11288504B2 (en) | Iris liveness detection for mobile devices | |
| US9922238B2 (en) | Apparatuses, systems, and methods for confirming identity | |
| CN106250810B (en) | Method for identifying and/or authenticating an individual by iris recognition | |
| US5450504A (en) | Method for finding a most likely matching of a target facial image in a data base of facial images | |
| WO2021036436A1 (en) | Facial recognition method and apparatus | |
| AU2017201463B2 (en) | Methods and systems for authenticating users | |
| KR102554391B1 (en) | Iris recognition based user authentication apparatus and method thereof | |
| Phillips et al. | Biometric image processing and recognition | |
| US9449217B1 (en) | Image authentication | |
| CN108898051A (en) | A kind of face identification method and system based on video flowing | |
| KR20170015639A (en) | Personal Identification System And Method By Face Recognition In Digital Image | |
| CN113449704B (en) | Face recognition model training method and device, electronic equipment and storage medium | |
| CN108446687A (en) | A kind of adaptive face vision authentication method based on mobile terminal and backstage interconnection | |
| CN111862413A (en) | Method and system for realizing epidemic situation resistant non-contact multidimensional identity rapid identification | |
| CN114218543A (en) | Encryption and unlocking system and method based on multi-scene expression recognition | |
| CN114926878A (en) | Non-monitoring remote face recognition method based on one-object-one-code corresponding scene | |
| CN114783027A (en) | Face recognition method based on anti-counterfeiting authentication scene before consumer consumption | |
| CN114898443A (en) | Face data acquisition method and device | |
| CN113011544B (en) | Face biological information identification method, system, terminal and medium based on two-dimensional code | |
| Ma et al. | Multi-perspective dynamic features for cross-database face presentation attack detection | |
| WO2022222735A1 (en) | Information processing method and apparatus, computer device, and storage medium | |
| CN114387674A (en) | Living body detection method, living body detection system, living body detection apparatus, storage medium, and program product | |
| CN113239774A (en) | Video face recognition system and method | |
| CN118172860B (en) | Intelligent campus access control system based on identity recognition | |
| CN110458034A (en) | A kind of identity control methods based on face and iris recognition |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220819 |
|
| WW01 | Invention patent application withdrawn after publication |