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http://dx.doi.org/10.13089/JKIISC.2013.23.4.737

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

Moon, Hae-Min (Chosun University)
Pan, Sung Bum (Chosun University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.23, no.4, 2013 , pp. 737-742 More about this Journal
Abstract
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.
Keywords
intelligent surveillance; image interpolation; long distance face recognition; principal component analysis; linear discriminant analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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