The Research on Offline Palmprint Identification

This paper summarizes and integrates the approaches in our previous works. It proposes a complete system and provides a complete minutiae-based solution for the offline palmprint identification. The improved image preprocessing approach transforms the gray-scale offline palmprint images into skeleton images with the palmprint segmentation, image enhancement and thinning algorithms. The novel matching approach is a multi-phases minutiae matching based on both of the local structure and global feature. To construct a complete identification, this paper also introduces the extraction and postprocessing approaches that extract and purify the feature in this system. The experimental results reveal that the system proposed is effective and efficient for the practical application.