出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The recognition of a person based on biological features are efficient compared with traditionalknowledge based recognition system. In this paper we propose Wrapping Curvelet Transformbased Face Recognition (WCTFR). The Wrapping Curvelet Transform (WCT) is applied onface images of database and test images to derive coefficients. The obtained coefficient matrix isrearranged to form WCT features of each image. The test image WCT features are comparedwith database images using Euclidean Distance (ED) to compute Equal Error Rate (EER) andTrue Success Rate (TSR). The proposed algorithm with WCT performs better than CurveletTransform algorithms used in [1], [10] and [11].
关键词：Biometrics; Curvelet; Total Success Rate; Euclidean Distance.
