A method for detecting and recognizing human face in vivo

A technology of living body detection and recognition method, applied in the field of face recognition, can solve problems such as photo deception, and achieve the effect of reducing the recognition time and speeding up the convergence speed

Inactive Publication Date: 2019-01-04
FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST +1
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Problems solved by technology

[0003] The purpose of the present invention is to propose a human face detection and recognition method to solve the photo deception in the face recognition method, which can effectively determine the difference between a live human face and an image video human face

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  • A method for detecting and recognizing human face in vivo
  • A method for detecting and recognizing human face in vivo
  • A method for detecting and recognizing human face in vivo

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Embodiment Construction

[0053] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0054] In this embodiment, it is divided into two parts: liveness detection and face recognition. The liveness detection first divides the face image in the infrared image, performs Fourier transform, and extracts the sequence frequency, optical flow modulus histogram, sequence Correlation of three kinds of feature information, training to obtain a SVM classifier, according to the selection of the threshold to judge the living body of the face.

[0055] Face recognition firstly divides the color image more accurately according to the living face image detected by the infrared image, and uses the PCA algorithm to reduce the dimensionality of the color face image to extract feature information, reduce the amount of face image data, and use the GA algorithm to The BP neural network is optimized, and th...

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Abstract

A method for detecting and recognizing human face in vivo comprises the steps of: a video human face image is acquired; the face part of the video frame image is segmented to get the optical flow modulus sequence and direction sequence; three kinds of feature information are extracted from the sequence, and the extracted feature is trained to get an SVM classifier to judge whether it is a living face or not; according to the living face image detected by infrared image, the face part in the color image is segmented, the color face image is extracted by using PCA algorithm, and the collected face image is represented by one-dimensional vector, and the covariance matrix C of the vector is obtained; the eigenface space W is obtained from the covariance matrix C, and the eigenface space W is used as the input of the neural network; the neural network is optimized and trained; after the training, the face images to be recognized are input into the network for face recognition. In order to solve the cheating behavior of photographs in face recognition method, the difference between living face and image video face can be judged effectively.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a large-scale face recognition method. Background technique [0002] Face recognition authentication technology is widely used in security, access control, time attendance and other fields due to its convenience, quickness and non-contact characteristics. However, although the traditional face recognition system can recognize different faces, it is difficult to judge whether the face is a living body or a photo, which will bring huge security risks to the identity authentication system. Therefore, how to detect living human faces has become a hot topic of research. Contents of the invention [0003] The purpose of the present invention is to propose a human face detection and recognition method to solve the photo deception in the face recognition method, which can effectively determine the difference between a living human face and an image and video human face. [0...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08
CPCG06N3/086G06V40/172G06V40/168G06V40/45G06F18/2135G06F18/2411
Inventor 杨世杰黄坤山彭文瑜林玉山杨表
Owner FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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