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Design and Implementation of a Bimodal User Recognition System using Face and Audio

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(5), pp.351-360
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

MyungHoonKim 1 Jung, Sung-Tae 2 이지근 2 소인미 2

1광주보건대학교
2원광대학교

Candidate

ABSTRACT

Recently, study of Bimodal recognition has become very active. In this paper, we propose a Bimodal user recognition system that uses face information and audio information. Face recognition consists of face detection step and face recognition step. Face detection uses AdaBoost to find face candidate area. After finding face candidates, PCA feature extraction is applied to decrease the dimension of feature vector. And then, SVM classifiers are used to detect and recognize face. Audio recognition uses MFCC for audio feature extraction and HMM is used for audio recognition. Experimental results show that the Bimodal recognition can improve the user recognition rate much more than audio only recognition, especially in the presence of noise.

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