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Face recognition method and device based on deep learning

A face recognition and deep learning technology, applied in the field of face recognition, can solve problems such as poor anti-interference ability and low robustness, and achieve the effect of increasing accuracy, strong anti-interference ability and good effect

Active Publication Date: 2018-01-19
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a face recognition method and system based on deep learning to solve the problems of poor anti-interference ability and low robustness of complex environmental factors in face data in the prior art

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  • Face recognition method and device based on deep learning

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Embodiment Construction

[0027] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0028] The embodiment of the present invention is realized based on a deep neural network. The training of the neural network model relies on the character characteristics of the character training image to estimate and optimize the parameters of the model, and the same neural network model is used to process different images. After the feature expression vector of the image is obtained through de...

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Abstract

The invention is applicable to the field of face recognition technology and provides a face recognition method and device based on deep learning. The method includes the steps of constructing a deep neural network based on face training images; acquiring a to-be-recognized image; detecting a face region in the to-be-recognized image and then extracting the face region; converting the face region image into a standard frontal face image and inputting the converted image into the deep neural network; outputting an expression vector of the standard frontal face image by using the deep neural network; and comparing the expression vector with each face description feature in a face library to obtain the face identity of the to-be-recognized image. In the invention, since the plurality of face training images are used as supervisory information to establish the deep neural network and character features of each image are extracted based on the deep neural network, the character features withhigher robustness can be learned and used, and compared with a traditional face recognition method, the method in the invention has better face recognition effect and can have a stronger anti-interference capability under complicated environment conditions.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a face recognition method and device based on deep learning. Background technique [0002] With the rapid popularization of video surveillance, many video surveillance applications urgently need a rapid identification technology that can be used in a long-distance and user-uncooperative state, so as to quickly confirm the identity of personnel at a long distance and realize intelligent early warning. Therefore, the continuously developed face recognition technology has played a major role in this process. Face recognition technology is based on human facial features, processing the input face image or video stream to identify the identity of each face. The main face recognition method includes the following steps: extracting the identity features contained in each face in the image, matching and comparing it with known faces, so as to achieve the effect of i...

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Application Information

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IPC IPC(8): G06K9/00
Inventor 王健宗刘铭肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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