Face recognition method based on improved bacterial foraging algorithm

A bacterial foraging algorithm and face recognition technology, applied in the field of face recognition, can solve the problems of insufficient BFO application, insufficient face recognition, unsatisfactory accuracy and efficiency, etc.

Active Publication Date: 2015-11-18
壹岚科技(广州)有限公司
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AI Technical Summary

Problems solved by technology

[0004] The current BFO algorithm research is still in its infancy, the application of BFO is not deep enough, especially in face recognition, and the acc

Method used

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  • Face recognition method based on improved bacterial foraging algorithm
  • Face recognition method based on improved bacterial foraging algorithm
  • Face recognition method based on improved bacterial foraging algorithm

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Embodiment Construction

[0060] This embodiment is realized on the LATITUDED630 notebook computer of Dell, the processor of this machine is Intel(R) Core(TM) 2DuoCPUT72502.00GHz, the operating system used is WindowsXP, and the emulation software used is matlab2012. from figure 1 As can be seen, the present invention is generally divided into the following modules:

[0061] (1) Face database image import module: According to actual needs, collect the faces that need to be retrieved, and establish the original face database {F k};

[0062] (2) face library image preprocessing module: to the face database {F k} Preprocessing: normalize the size and grayscale of the image, and then equalize the histogram, use the local normalized illumination compensation method to eliminate the influence of uneven illumination, and use the position of the eyes to perform face The adjustment of the front plane rotation and the adjustment of the depth rotation of the face using the distance from the mouth to the edge o...

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Abstract

With the development of science and technology and the advent of the era of big data, the problem of social information security receives much concern. For example, the public security department identifies suspects from the streets, banks need identity authentication of customers, and the customhouse identifies the identity of exit-entry people. The means of identity authentication emerges in endlessly, such as password, fingerprint, ID card, RFID card and other ways of recognition, wherein face recognition is a popular research area at present. In recent years, many excellent talents have conducted research in the field of face recognition, and have made great achievement. In view of the weaknesses and shortcomings of the methods put forward by predecessors, the traditional bacteria foraging method is improved in the invention, and the improved algorithm is applied to face recognition, namely, classification is performed on an original face database by the improved bacteria foraging method first, and then, a target face is recognized by a comparison method. Experiments show that a method of the invention has very high recognition rate. The method of the invention mainly comprises a face input module, a face image preprocessing module, a face feature extraction module, a bacterial foraging algorithm training module, a target face image input module, and a target face image recognition module.

Description

technical field [0001] The invention relates to intelligent computing technology, in particular to a technology for face recognition using an improved bacterial foraging algorithm. This technology has broad application prospects in the fields of identity authentication and pattern recognition. Background technique [0002] Face recognition is a research hotspot and difficulty in the field of computer vision and pattern recognition, and it is a research topic with broad application prospects. With the development of science and technology and the advent of the era of big data, social information security issues have attracted much attention. For example, the public security department identifies a suspect from the street, the bank needs the identity authentication of the customer, and the customs confirms the identity of the daily entry and exit. There are also endless ways of identity verification, such as passwords, fingerprints, ID cards and RFID radio frequency cards an...

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Application Information

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IPC IPC(8): G06K9/00G06N3/00
CPCG06N3/00G06V40/168G06V40/172
Inventor 曾志高关良华易胜秋
Owner 壹岚科技(广州)有限公司
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