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A Face Recognition using the Hidden Markov Model and Karhuman Loevs Transform

Hidden Markov Model과 Karhuman Loevs Transform를 이용한 얼굴인식

  • Received : 2011.01.06
  • Accepted : 2011.02.03
  • Published : 2011.03.30

Abstract

The work presented in this paper describes a Hidden Markov Model(HMM)-based framework for face recognition and face detection. The observation vectors used to characterize the statics of the HMM are obtained using the coefficients of the Karhuman-Loves Transform(KLT). The face recognition method presented in this paper reduces significantly the computational complexity of previous HMM-based face recognition systems, while slightly improving the recognition rate. In addition, the suggested method is more effective than the exiting ones in face extraction in terms of accuracy and others even under complex changes to the surroundings such as lighting.