Face recognition using multiple facial features

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• 作者：A.N. Rajagopalan ; K. Srinivasa Rao ; Y. Anoop Kumar
• 关键词：Face recognition ; Principal components analysis ; Fisher’ ; s linear discriminant ; Block histogram modification ; Edginess image ; Distance in feature space ; Fusion
• 刊名：Pattern Recognition Letters
• 出版年：2007
• 期刊代码：101_01678655
• 类别：cp
• 出版时间：1 February 2007
• 卷：28
• 期：3
• 页码：335-341
• 文件大小：285 K

摘要

We propose a face recognition method that fuses information acquired from global and local features of the face for improving performance. Principle components analysis followed by Fisher analysis is used for dimensionality reduction and construction of individual feature spaces. Recognition is done by probabilistically fusing the confidence weights derived from each feature space. The performance of the method is validated on FERET and AR databases.