Selection of discriminative sub-regions for palmprint recognition
Palmprint recognition, as a reliable personal identification method, has received an increasing attention and became an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending on the capturing system to ensure public security based on palmprint identification. This system is based on a new global approach that focuses only on areas of the image having the most discriminating features for recognition. The presented new approach was evaluated experimentally on two large databases, namely,CASIA-Palmprint and PolyU-Palmprint; the results of this evaluation show promising results and demonstrate the effectiveness of the proposed approach.
palmprint recognition biometric contactless local binary patterns (lbp) sequential forward floating selection (sffs)