Performance Analysis of Face Recognition by Distance according to Image Normalization and Face Recognition Algorithm

영상 정규화 및 얼굴인식 알고리즘에 따른 거리별 얼굴인식 성능 분석

  • Received : 2013.05.02
  • Accepted : 2013.08.01
  • Published : 2013.08.31


The surveillance system has been developed to be intelligent which can judge and cope by itself using human recognition technique. The existing face recognition is excellent at a short distance but recognition rate is reduced at a long distance. In this paper, we analyze the performance of face recognition according to interpolation and face recognition algorithm in face recognition using the multiple distance face images to training. we use the nearest neighbor, bilinear, bicubic, Lanczos3 interpolations to interpolate face image and PCA and LDA to face recognition. The experimental results show that LDA-based face recognition with bilinear interpolation provides performance in face recognition.


Supported by : 한국연구재단


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