文章基本信息

标题：Enhancement of Face Recognition Rate by Data Base Pre-processing
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作者：Harihara Santosh Dadi ; P G Krishna Mohan
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2978-2984
出版社：TechScience Publications
摘要：the effect of pre-processing of face image in improving the face recognition rate is presented in this paper. Three pre-processing steps are used in considering the facial images with dark or bad lighting, low contrast. The preprocessing steps used here are contrast stretching, Homomorphic filtering and conversion of PGM image to Tagged Image File Format (TIFF), Graphics Interchange Format (GIF) and Portable Network Graphics (PNG). In order to reduce the dimension and extracting features Principle Component Analysis (PCA), Linear Discriminant Analysis (LDA), Kernel Fisher Analysis (KFA) and Kernel Principle Component Analysis (KPCA) are used to see the effect of pre-processing techniques and image formats on these techniques. Results show that the pre-processing steps like contrast stretching and Homomorphic filtering and the database in TIFF, GIF and PNG formats produced excellent improvement and increased the rate of face recognition when compared with AT&T ORL data bases.
关键词：Contrast stretching; Homomorphic filtering;Face recognition rate; PCA; LDA; KFA; KPCA