Automatic Decision Method of Effective Transform Coefficients for Face Recognition

  • Jean Choi
  • Yun-Su Chung
  • Ki-Hyun Kim
  • Jang-Hee Yoo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4096)


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.


Face Recognition Linear Discriminant Analysis Discrete Cosine Transform Face Image Recognition Accuracy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jean Choi
    • 1
    • 2
  • Yun-Su Chung
    • 1
    • 2
  • Ki-Hyun Kim
    • 2
  • Jang-Hee Yoo
    • 2
  1. 1.Department of Information Security EngineeringUniversity of Science & TechnologyDaejeonKorea
  2. 2.Biometrics Chipset Research TeamElectronics and Telecommunications Research InstituteDaejeonKorea

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