Face Recognition Method using Geometric Feature and PCA/LDA in Wavelet Domain

웨이브릿 영역에서 기하학적 특징과 PCA/LDA를 사용한 얼굴 인식 방법

  • 송영준 (충북대학교 정보통신공학과) ;
  • 김영길 (충북대학교 정보통신공학과)
  • Published : 2004.09.01

Abstract

This paper improved the performance of the face recognition system using the PCA/LDA hybrid method based on the facial geometric feature and the Wavelet transform. Because the previous PCA/LDA methods have measured the similarity according to the formal dispersion, they could not reflect facial boundaries exactly In order to recover this defect, this paper proposed the method using the distance between eyes and mouth. If the difference of the measured distances on the query and the training images is over the given threshold, then the method reorders the candidate images according to energy feature vectors of eyes, a nose, and a chin. To evaluate the performance of the proposed method the computer simulations have been performed with four hundred facial images in the ORL database. The results showed that our method improves about 4% recognition rate over the previous PCA/LDA method.

Keywords

Face Recognition;PCA;LDA;PCA;LDA;Geometric Feature