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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...
Skeletonization is an important procedure of automated palmprint identification system based on the characteristic of minutiae. Skeleton acquired by traditional thinning algorithms will produce many spurious minutiae which are caused by spurs and misconnections between ridges. The excessive erosion is also a common problem in thinning algorithm. Moreover, unit skeleton cannot be produced by some of...
The performance of a minutiae-based palmprint recognition system relies heavily on the quality' of captured palmprint images. This paper introduces a block-based approach to evaluate the quality of a palmprint, in which two inter-block indices and four inner-block indices are developed. Inter-block quality indices includes block level orientation continuity, ridge thickness uniformity, while inner-block...
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