Face recognition method based on combined sparse representation and single hidden layer neural network technology

A neural network and face recognition technology, applied in the field of image recognition, can solve problems such as time-consuming recognition methods and unstable classification performance

Inactive Publication Date: 2017-08-22
ANHUI UNIVERSITY
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Problems solved by technology

[0006] The purpose of the present invention is to solve the defects of the prior art that the recognition method takes a long time or the classification performance is unstable, and provides a face recognition method based on the combination of sparse representation and single hidden layer neural network technology to solve the above problems

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  • Face recognition method based on combined sparse representation and single hidden layer neural network technology
  • Face recognition method based on combined sparse representation and single hidden layer neural network technology
  • Face recognition method based on combined sparse representation and single hidden layer neural network technology

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Embodiment Construction

[0071] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0072] Face recognition is: compare the face feature to be recognized with the obtained face feature template, and judge the identity information of the face according to the similarity between the two. Such as figure 1 Shown, a kind of face recognition method based on the combination of sparse representation and single hidden layer neural network technology of the present invention, it comprises the following steps:

[0073] The first step is face image acquisition and detection, using traditional methods to determine the range of facial features from the test frame images extracted from the video. Get the video, divide the video into frames, locate and divide the approximate facial features range of the face from the image of each ...

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Abstract

The invention relates to a face recognition method based on combined sparse representation and single hidden layer neural network technology. Compared with the prior art, the method solves the problem of a time-consuming recognition method or unstable classification performance. The method provided by the invention comprises the steps that face image acquisition and detection are carried out, and the range of five sense organs of a face is determined in a test frame image extracted from a video; image preprocessing is carried out, and illumination or noise interference eliminating is carried out on the test frame image; feature extraction is carried out, face feature extraction is carried out on the test frame image; and classification recognition is carried out, and extracted face feature information is subjected to search classification matching with a feature template stored in a database to acquire a final classification recognition result. According to the invention, a sparse representation method is combined with the single hidden layer feedforward neural network; the recognition speed is fast; and a good classification recognition performance is kept.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a face recognition method based on the combination of sparse representation and single hidden layer neural network technology. Background technique [0002] As one of the most successful applications in the fields of image processing and pattern recognition, face recognition has attracted much attention due to its features such as no need for recognition object cooperation, remote covert operation, and friendly recognition process. In addition to pure scientific significance, there are also many applications in business and law enforcement, such as supervision, security, communication and human-computer interaction. After 30 years of research, various face recognition methods have been proposed by researchers. [0003] With the rise of compressive sensing theory, sparse representation as its core technology can not only reduce the cost of data analysis and processing, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/172G06F18/2136
Inventor 梁栋屈磊谭守标唐俊
Owner ANHUI UNIVERSITY
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