Arunalatha J S¹, Ramachandra A C², Tejaswi V³, Shaila K¹ , Raja K B¹, Dinesh Anvekar⁴, Venugopal K R¹, S S Iyengar⁵, L M Patnaik⁶, ¹Bangalore University, India, ²Alpha College of Engineering, India, ³National Institute of Technology-Surathkal, India, ⁴Nitte Meenakshi Institute of Technology, India, ⁵Florida International University, USA and ⁶Indian Institute of Science, India

The recognition of a person based on biological features are efficient compared with traditional knowledge based recognition system. In this paper we propose Wrapping Curvelet Transform based Face Recognition (WCTFR). 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 Euclidean 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 [1], [10] and [11].

Biometrics, Curvelet, Total Success Rate, Euclidean Distance.