Performance Evaluation of Contourlet Transform based Palmprint Recognition using Nearest Neighbour Classifier

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Security
Format: PDF
Biometrics-based personal verification is a powerful security features in technology era. Palmprint recognition is an accepted and widely used biometric. Palmprint is an important complement and reliable biometric that can be used for identity verification because it is stable and unique for every individual. This paper presents a new palmprint matching method by using the contourlet features. The region of interest is extracted from the palmprint image as a preprocessing step. The contourlet transform is a new two dimensional extension of the wavelet transform using multi-scale and directional filter banks. It can effectively capture smooth contours that is both the global and local details which are the dominant features in palmprint images.

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