Face recognition method and device as well as mobile terminal

A face recognition and face technology, applied in the field of image processing, can solve problems such as unfavorable use of embedded platforms, complex calculations, and high resource consumption

Inactive Publication Date: 2012-05-30
KONKA GROUP
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  • Abstract
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Problems solved by technology

However, although the recognition performance of the above-mentioned face recognition technologies is good, the calculation is too complicated

Method used

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  • Face recognition method and device as well as mobile terminal
  • Face recognition method and device as well as mobile terminal
  • Face recognition method and device as well as mobile terminal

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0053] see figure 1 , is a schematic flow chart of the first embodiment of the face recognition method provided by the present invention. In various implementations of the present invention, Gabor algorithm may be involved. Among them, the Gabor algorithm belongs to the windowed Fourier transform, which can extract relevant features in different scales and directions in the frequency domain. Because the Gabor function is similar to the biological function of the hu...

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Abstract

The embodiment of the invention discloses a face recognition method and device as well as a mobile terminal. The method comprises the following steps of: pre-processing a target image, wherein the target image is to be judged whether to be a face image or not and the preprocessing step comprises geometrical normalization processing and illumination normalization processing; extracting face partial features by a partial filter set according to a Gabor algorithm; carrying out dimensionality reduction on the face partial features extracted by the partial filter set through a principal component analysis PCA and a linear distinguish analysis LDA; sending the face partial features subjected to the dimensionality reduction into a classifier to be matched and judging whether the target image is a face image or not. The face recognition method and device as well as the mobile terminal, provided by the embodiment of the invention, can focus on an embedded type application; the speed for extracting features is greatly improved, the storage amount is reduced, and the identification performance is better so that the face recognition method and device are suitable for an embedded type platform with a limited resource, such a mobile terminal and the like.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a face recognition method, device and mobile terminal. Background technique [0002] In recent years, with the development of computer vision technology and the promotion of mobile multimedia business application requirements, the smile recognition technology for embedded applications has been greatly developed, such as mobile phone face information encryption, mobile phone owner identification, mobile phone face power-on verification Application scenarios such as face recognition access control and other application scenarios all need to identify specific face targets. The experience level of these applications is closely related to the performance of face recognition methods. [0003] However, the inventor found in the process of implementing the present invention that there are obvious defects in the existing face recognition technology; [0004] Researchers at home an...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/66
Inventor 杨卫国董蜀峰
Owner KONKA GROUP
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