Volume 9 Number 8 (Aug. 2014)
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JCP 2014 Vol.9(8): 1952-1958 ISSN: 1796-203X
doi: 10.4304/jcp.9.8.1952-1958

A Novel Face Recognition Method using Nearest Line Projection

Huanguo Zhang, Sha Lv, Wei Li and Xun Qu
Department of Electrical Information Engineering, Yibin Vocational & Technical College Yibin, Sichuan 644003, China

Abstract—Face recognition is a popular application of pattern recognition methods, and it faces challenging problems including illumination, expression, and pose. The most popular way is to learn the subspaces of the face images so that it could be project to another discriminant space where images of different persons can be separated. In this paper, a nearest line projection algorithm is developed to represent the face images for face recognition. Instead of projecting an image to its nearest image, we try to project it to its nearest line spanned by two different face images. The subspaces are learned so that each face image to its nearest line is minimized. We evaluated the proposed algorithm on some benchmark face image database, and also compared it to some other image projection algorithms. The experiment results showed that the proposed algorithm outperforms other ones.

Index Terms—Face Recognition, Subspace Learning, Nearest Line

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Cite: Huanguo Zhang, Sha Lv, Wei Li and Xun Qu, "A Novel Face Recognition Method using Nearest Line Projection," Journal of Computers vol. 9, no. 8, pp. 1952-1958, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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