Contactless Palmprint Verification System using 2-D Gabor Filter and Principal Component Analysis

The palmprint verification system is gaining popularity in the Biometrics research area. The palmprint provides many advantages over other biomefric systems such as low-cost acquisition device, high verification accuracy, fast feature extraction, stability, and unique characteristics. In this research article a new palmprint verification model is proposed using Sobel Edge Detection, 2D Gabor Filter, and Principal Component Analysis (PCA). The proposed new model is tested with the Indian Institute of Technology Delhi (IITD) palmprint database. The experimental results of the proposed new model achieves 99.5% Total Success Rate and 0.5% Equal Error Rate. The experimental result confirms that the proposed new model is more suitable compared to other existing biometric techniques.