Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
3116-3120

Intelligent face recognition algorithm based on spectral feature extraction and linear regression classification

Chen Wenbin
Zeng Lulin
School of Computer Science, Southwest Petroleum University, Chengdu 610500, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0336

Abstract

Aiming at the problem of face image change caused by light, expression change and occlusion in face recognition, this paper proposed a smart face recognition method combining spectral domain feature extraction and linear regression classification algorithm. For the purpose of feature extraction, this method first extracted the initial human face part from the original image using Viola-Jones algorithm and converted into a grayscale image with a size of 120×120 pixels. Then, it proposed a new framework to compute the polar amplitude Fourier transform(FFT) to obtain the main amplitude spectral features of the preprocessed face image. It further performed the 2D-DFT on the preprocessed image and expressed as a 1D P-FFT. The eigenvalue was the maximum value of the 1D P-FFT amplitude, and it used the extracted eigenvalue to construct a symbol object representing a face image. Finally, it implemented classification using a fast and efficient linear regression classification algorithm. Various experiments were performed on the AR and GT databases, this method achieved 97.51% and 98.02% accuracy, respectively. Compared with some recently reported face recognition techniques, the proposed method has higher recognition accuracy.

Foundation Support

四川省科技厅应用基础研究计划资助项目(2016JY0201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0336
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3116-3120
Serial Number: 1001-3695(2019)10-052-3116-05

Publish History

[2019-10-05] Printed Article

Cite This Article

陈汶滨, 曾渌麟. 基于谱域特征提取与线性回归分类的智能人脸识别算法 [J]. 计算机应用研究, 2019, 36 (10): 3116-3120. (Chen Wenbin, Zeng Lulin. Intelligent face recognition algorithm based on spectral feature extraction and linear regression classification [J]. Application Research of Computers, 2019, 36 (10): 3116-3120. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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