文章基本信息

标题：Independent Component Analysis of Edge Information for Face Recognition
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作者：Professor Kailash Jagannath Karande ; Dr. Sanjay N Talbar
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2009
卷号：3
期号：3
页码：120-130
出版社：Computer Science Journals
摘要：In this paper we address the problem of face recognition using edge information as independent components. The edge information is obtained by using Laplacian of Gaussian (LoG) and Canny edge detection methods then preprocessing is done by using Principle Component analysis (PCA) before applying the Independent Component Analysis (ICA) algorithm for training of images. The independent components obtained by ICA algorithm are used as feature vectors for classification. The Euclidean distance and Mahalanobis distance classifiers are used for testing of images. The algorithm is tested on two different databases of face images for variation in illumination and facial poses up to 180 degree rotation angle.
关键词：Principle Component analysis (PCA);; Independent Component Analysis (ICA); Laplacian of Gaussian ( LoG; Canny edge detection; Euclidean distance classifier; Mahalanobis distance classifier.