Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition

LU Jian; WANG Hui

美国《工程索引》（EI）核心期刊
美国《剑桥科学文摘》（CSA）收录期刊
荷兰斯高帕斯数据库（Scopus）收录期刊
英国INSPEC数据库（SA）收录期刊

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Volume 30 Issue 2

Feb. 2005

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Article Navigation > Geomatics and Information Science of Wuhan University > 2005 > 30(2): 118-121

LU Jian, WANG Hui. Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 118-121.

Citation:

LU Jian, WANG Hui. Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 118-121.

Comparison Between SVD and DCT Feature Extraction Methods in Face Recognition

LU Jian¹,
WANG Hui¹

¹School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Funds: 国家自然科学基金资助项目(40171032)

Received Date: 2004-11-19
Rev Recd Date: 2004-11-19
Publish Date: 2005-02-05

Abstract

This paper compares SVD (singular value decomposition) with DCT (discrete cosine transform) in the face recognition, and concludes that SVD is less effective than DCT in recognition ratio and time cost. Experimental results show that SVD is an available feature extraction method, but is not a best one for pattern recognition
- SVD,
- DCT,
- EHMM,
- feature,
- face recognition
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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