International Journal of Computer Application Issue 5, Volume 1 (Jan.- Feb. 2015) Available online on http://www.rspublication.com/ijca/ijca_index.htm ISSN: 2250-1797

نویسنده

  • Dinesh Anvekar
چکیده

The recognition of a person based on biological features are efficient compared with traditional knowledge based recognition system. In this paper we propose Face Recognition using Wrapping Curvelet Transform (FRWCT). The Wrapping Curvelet Transform (WCT) is applied on face images of database and test images to derive coefficients. The obtained coefficient matrix is rearranged to form WCT features of each image. The test image WCT features are compared with database images using Euclidian Distance (ED) to compute Equal Error Rate (EER) and True Success Rate (TSR). The proposed algorithm with WCT performs better than Curvelet Transform algorithms used in [28], [39] and [40].

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تاریخ انتشار 2015