Palmprint Identification Based on Fusion of KWT and DWT at Matching Score Level

Palmprint is a physiological biometric trait and is efficient in identifying a person. In this paper we propose Palmprint Identification based on fusion of KWT and DWT at matching Score level (PIFKDM). The palmprint image is preprocessed to generate histogram equalized ROI. The KWT and DWT are applied on preprocessed image. The KWT coefficients and LL band of DWT are considered as features. The EER and TSR values are computed using KWT and DWT features. The EER and TSR values of KWT and DWT are fused using Log Transformation to get better performance. It is observed that the values of performance parameters are better in the case of proposed algorithm compared to existing algorithms. KeywordsPalmprint, KWT, DWT, ED, EER, TSR.