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Conference Paper
Automatic Decision Method of Effective Transform Coefficients for Face Recognition
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- Authors
- Jean Choi, Yun Su Chung, Ki Hyun Kim, Jang Hee Yoo
- Issue Date
- 2006-08
- Citation
- International Conference on Embedded and Ubiquitous Computing (EUC) 2006 (LNCS 4096), v.4096, pp.1007-1016
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a novel face recognition method using the effective transform coefficients of face images. The method is based on extraction of effective vector in Discrete Cosine Transform (DCT) domain and Linear Discriminant Analysis (LDA) of effective vector. In general, face images have characteristics that they show larger energy congestion in horizontal frequency coefficients than in vertical or diagonal frequency coefficients. However, many previous methods have shortcomings that they don't utilize the facial energy characteristics. To overcome shortcomings above, the proposed method selects the effective coefficients of the face in DCT domain and then extracts feature vector through LDA analysis on DCT coefficients. Experimental results show that our method has improvements of recognition performance over the previous methods. © Springer-Verlag Berlin Heidelberg 2006.
- KSP Keywords
- DCT coefficients, DCT domain, Discrete cosine Transform, Energy congestion, Face Image, Feature Vector, Linear Discriminant Analysis(LDA), Recognition method, decision method, effective coefficients, energy characteristics