Face Feature Extraction Based on Fast 2D-DCT Algorithm

doi:10.3969/j.issn.1006-2475.2013.05.016

Computer and Modernization ›› 2013, Vol. 1 ›› Issue (5): 70-72.doi: 10.3969/j.issn.1006-2475.2013.05.016

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Face Feature Extraction Based on Fast 2D-DCT Algorithm

LIN Jing-liang， LI Zu-yu

Teacher Education College of Vocational Technology, Guangxi Normal University, Guilin 541004, China

Received:2013-01-28 Revised:1900-01-01 Online:2013-05-28 Published:2013-05-28

Abstract

Abstract: Discrete cosine transform (DCT) has an advantage that is the image signal processing without affecting image quality. The paper proposes a new algorithm for face feature extraction. The face image is the first segmented in average, and the fast 2D-DCT algorithm instead of common DCT algorithm is used in the stage of feature vector extraction. The new algorithm has been tested, and the result proves that 2D-DCT can reduce most of time for the stage of face recognition or can extract more DCT coefficient than common DCT algorithm. Experimental results show that the proposed algorithm is fast and effective.

Key words: DCT, fast algorithm, face feature extraction

CLC Number:

TP391.41

LIN Jing-liang;LI Zu-yu. Face Feature Extraction Based on Fast 2D-DCT Algorithm[J]. Computer and Modernization, 2013, 1(5): 70-72.

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Face Feature Extraction Based on Fast 2D-DCT Algorithm

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