CN115393943A - High-precision face recognition system and method - Google Patents
High-precision face recognition system and method Download PDFInfo
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- CN115393943A CN115393943A CN202211082088.7A CN202211082088A CN115393943A CN 115393943 A CN115393943 A CN 115393943A CN 202211082088 A CN202211082088 A CN 202211082088A CN 115393943 A CN115393943 A CN 115393943A
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- 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
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- 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
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- 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
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Abstract
The invention discloses a high-precision face recognition system, which is characterized in that: the system comprises an acquisition module, an information processing module, a microprocessor module and a communication interface module, wherein the acquisition module is divided into a front acquisition module and a side acquisition module and is used for acquiring 2D images of a target face, the information processing module is used for receiving and processing the images acquired by the acquisition module, the microprocessor module is connected with the information processing module and is used for being responsible for processing various external interfaces, and the communication interface module is used for being responsible for communicating with various application devices. Compared with the prior art, the invention has the advantages that: the invention combines a three-dimensional picture by multi-aspect photographing to perform face recognition, firstly, the face recognition can be performed quickly and accurately, and secondly, the situation of photo recognition can be prevented, so that the face recognition can be performed accurately.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a high-precision face recognition system and a high-precision face recognition method.
Background
With the rapid development of computers, various industries have started to use human-computer interaction devices, and in the use of various human-computer interactions, human face recognition is increasingly performed, which is a biometric identification technology for performing identity recognition based on facial feature information of people. 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 face recognition on the detected human faces by using a series of related technologies, generally called as human image recognition and face recognition, but the human face recognition equipment in the prior art basically intercepts pictures by using a front camera, so that the situation of inaccurate recognition exists, and hidden dangers also exist, because the front intercepted pictures are compared with a database, and in other cases, the human face recognition can be carried out by using only one picture.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a high-precision face recognition system and method, aiming at the deficiencies in the background art.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a high-precision face recognition system is characterized in that: the system comprises an acquisition module, an information processing module, a microprocessor module and a communication interface module, wherein the acquisition module is divided into a front acquisition module and a side acquisition module and is used for acquiring 2D images of a target face, the information processing module is used for receiving and processing the images acquired by the acquisition module, the microprocessor module is connected with the information processing module and is used for being responsible for processing various external interfaces, and the communication interface module is used for being responsible for communicating with various application devices.
As an improvement, the front acquisition module acquires a front face picture of a human face, and the side acquisition module acquires left and right face pictures of the human face.
As an improvement, the information processing module combines the front face picture of the human face and the left and right face pictures into a three-dimensional graph and then outputs data.
As an improvement, the microprocessor module comprises one or more of a serial port, a USB interface, a TCP/IP interface, a WIFI communication module and a Bluetooth communication module.
As an improvement, the front acquisition module and the side acquisition module comprise a face recognition camera shooting station unit, a face recognition camera shooting cluster construction unit, a face recognition camera shooting station unit and a face recognition camera shooting cluster construction unit, so that faces can be recognized accurately.
As an improvement, a 2D face front picture and left and right face pictures are acquired through an acquisition module, a three-dimensional picture is generated through the 2D image by an information processing module, then the three-dimensional picture is compared with a pre-stored face feature template, and an identification result is output according to the comparison result, if the comparison is successful, the two-dimensional picture passes through, if the comparison is failed, the two-dimensional picture does not pass through, if only the front two-dimensional picture is false, the two-dimensional picture does not pass through, if the comparison is successful, the two-dimensional picture passes through, and if the continuous comparison fails for multiple times, the two-dimensional picture does not pass through.
After adopting the structure, the invention has the following advantages: the invention combines a three-dimensional picture by multi-aspect photographing to perform face recognition, firstly, the face recognition can be performed quickly and accurately, and secondly, the situation of photo recognition can be prevented, so that the face recognition can be performed accurately.
Drawings
Fig. 1 is a schematic diagram of an information processing structure of a high-precision face recognition system and method according to the present invention.
Detailed Description
The present invention is described in further detail below.
A high-precision face recognition system is characterized in that: the system comprises an acquisition module, an information processing module, a microprocessor module and a communication interface module, wherein the acquisition module is divided into a front acquisition module and a side acquisition module and is used for acquiring 2D images of a target face, the information processing module is used for receiving and processing the images acquired by the acquisition module, the microprocessor module is connected with the information processing module and is used for being responsible for processing various external interfaces, and the communication interface module is used for being responsible for communicating with various application devices.
The front acquisition module gather the positive picture of face, side acquisition module gather face picture about the face, information processing module with face picture about with face picture make up three-dimensional figure then output data, microprocessor module include serial ports, USB interface, TCP/IP interface, WIFI communication module, bluetooth communication module in one or more, front acquisition module and side acquisition module include face identification camera station unit, face identification camera cluster construction unit, face identification camera station unit and face identification camera cluster construction unit, face identification camera face identification range calculation unit and camera station face identification quantity distribution unit image station unit are used for according to face identification point design a plurality of individual face identification camera stations, face identification camera cluster construction unit and face identification range calculation unit, face identification camera cluster construction unit constructs face identification camera cluster according to face identification camera station's positional information and identification radius, face identification range calculation unit is connected with camera station face identification quantity distribution unit, face identification range calculation unit is used for calculating the face identification camera station face identification range of constructing, face identification camera station face identification range face identification camera head is used for the face identification camera station face identification number distribution unit, face identification camera station face identification range of face identification is provided with a plurality of face identification camera station face identification.
When the method is specifically implemented, a 2D face front picture and left and right face pictures are acquired through an acquisition module, a three-dimensional picture is generated through the 2D image by an information processing module, then the three-dimensional picture is compared with a pre-stored face characteristic template, and an identification result is output according to the comparison result, if the comparison is successful, the three-dimensional picture passes through, if the comparison is failed, the three-dimensional picture does not pass through, if only a front two-dimensional image exists, the two-dimensional image is false, the two-dimensional image does not pass through, if the comparison is successful, the two-dimensional image passes through, and if the continuous comparison fails for multiple times, the three-dimensional picture does not pass through.
The invention and its embodiments have been described above without limitation to the details of construction and practice. In summary, those skilled in the art should be able to conceive of the present invention without creative design of the similar structural modes and embodiments without departing from the spirit of the present invention, and all of them should fall into the protection scope of the present invention.
Claims (6)
1. A high-accuracy face recognition system is characterized in that: the system comprises an acquisition module, an information processing module, a microprocessor module and a communication interface module, wherein the acquisition module is divided into a front acquisition module and a side acquisition module and is used for acquiring 2D images of a target face, the information processing module is used for receiving and processing the images acquired by the acquisition module, the microprocessor module is connected with the information processing module and is used for being responsible for processing various external interfaces, and the communication interface module is used for being responsible for communicating with various application devices.
2. A high accuracy face recognition system as claimed in claim 1, wherein: the front acquisition module acquires front face pictures of the human face, and the side acquisition module acquires left and right face pictures of the human face.
3. A high accuracy face recognition system as claimed in claim 2, wherein: the information processing module combines the front face picture and the left and right face pictures of the human face into a three-dimensional graph and then outputs data.
4. A high accuracy face recognition system as claimed in claim 1, wherein: the microprocessor module comprises one or more of a serial port, a USB interface, a TCP/IP interface, a WIFI communication module and a Bluetooth communication module.
5. A high accuracy face recognition system as claimed in claim 1, wherein: the front acquisition module and the side acquisition module comprise a face recognition camera shooting station unit, a face recognition camera shooting cluster construction unit, a face recognition camera shooting station unit and a face recognition camera shooting cluster construction unit.
6. The use method of a high accuracy face recognition system according to claims 1-5, characterized in that: the method comprises the steps that a 2D face front picture and left and right face pictures are collected through a collection module, a three-dimensional picture is generated through a 2D image through an information processing module, then the three-dimensional picture is compared with a pre-stored face feature template, and an identification result is output according to the comparison result, if the comparison is successful, the three-dimensional picture passes through, if the comparison is failed, the three-dimensional picture does not pass through, if only a front two-dimensional image is false, the two-dimensional image does not pass through, if the comparison is successful, the two-dimensional image passes through, and if the two-dimensional image fails in continuous comparison for multiple times, the three-dimensional picture does not pass through.
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| CN202211082088.7A CN115393943A (en) | 2022-09-06 | 2022-09-06 | High-precision face recognition system and method |
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| CN202211082088.7A CN115393943A (en) | 2022-09-06 | 2022-09-06 | High-precision face recognition system and method |
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