A Face Recognition Scheme Based On Principle Component Analysis and Wavelet Decomposition

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2

Abstract

 Abstract: In this paper, a new face recognition system based on Wavelet transform (HWT) and Principal Component Analysis (PCA) is presented. The image face is preprocessed and detected. The Haar wavelet is used to form the coefficient matrix for the detected face. The image feature vector is obtained by computing PCA for the coefficient matrix of DWT. A comparison between the proposed recognition system using DWT, PCA and Discrete Cosine Transform (DCT) is also made.

Authors and Affiliations

Ashish Sharma , Dr. Varsha Sharma , Dr. Sanjeev Sharma

Keywords

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  • EP ID EP131716
  • DOI 10.9790/0661-16275963
  • Views 76
  • Downloads 0

How To Cite

Ashish Sharma, Dr. Varsha Sharma, Dr. Sanjeev Sharma (2014).  A Face Recognition Scheme Based On Principle Component Analysis and Wavelet Decomposition. IOSR Journals (IOSR Journal of Computer Engineering), 16(2), 59-63. https://europub.co.uk/articles/-A-131716