Contactless Palmprint Verification System using
2-D Gabor Filter and Principal Component Analysis
Satya Verma and Saravanan Chandran
Computer
Centre, National Institute of Technology, India
Abstract: The palmprint verification system is gaining popularity in the
Biometrics research area. The palmprint provides many advantages over other
biometric 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.
Keywords: Biometric, palmprint, 2-D gabor filter,
PCA.
Received August 19, 2015; accepted January 13, 2016