Eigenbands fusion for frontal face recognition
نویسندگان
چکیده
Face recognition is an important area of research with many applications, including biometric security and searching face databases. This article describes an approach to recognize faces using eigenbands, which aim to capture the best features from facial characteristics. Faces are divided in vertical and horizontal hands. From each hand is extracted features using standard-PCA. Results show that the standardPCA applied over vertical hand faces, using Bayes classifer, was more accurate than previous methods reported on the ORL face database.
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تاریخ انتشار 2003