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http://dx.doi.org/10.12673/jkoni.2013.17.6.726

Performance Improvement of the Face Recognition Using the Properties of Wavelet Transform  

Park, Kyung-Jun (MarkAny. co. Ltd.)
Seo, Seok-Yong (Dept. of Information Communication, Kyungmin College)
Koh, Hyung-Hwa (Dept. of Electronics and Communication Eng., Kwangwoon University)
Publication Information
Journal of Advanced Navigation Technology / v.17, no.6, 2013 , pp. 726-735 More about this Journal
Abstract
This paper proposed face recognition methods about performance improvement of the face recognition using the properties of wavelet transform. Using discrete wavelet transform is Daubechies D4 filter that is similar to mother wavelet transform. For discrete wavelet transform method, In this case, by using LL subband only we can reduce processing time and amount of memory in recognition processing. To improve recognition ratio without further loss of 2 dimensional data changing, We applies 2D LDA. We perform SVM training algorithm to the feature vector obtained by 2D LDA. Experiment is performed using ORL database set and Yale database set by Matlab program. Test result shows that proposed method is superior to existence methods in recognition rate and performance time.
Keywords
Face Recognition; Wavelet Transform; SVM;
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