Fast fully parallel thinning algorithms
CVGIP: Image Understanding
A fast parallel algorithm for thinning digital patterns
Communications of the ACM
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Digital Image Processing
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Lip print recognition for security systems by multi-resolution architecture
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
A thermal hand vein pattern verification system
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Biometric verification using thermal images of palm-dorsa vein patterns
IEEE Transactions on Circuits and Systems for Video Technology
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In vein pattern biometrics, analysis of the shape of the vein pattern is the most critical task for person identification. One of best representations of the shape of vein patterns is the skeleton of the pattern. Many traditional skeletonization algorithms are based on binary images. In this paper, we propose a novel technique that utilizes the watershed algorithm to extract the skeletons of vein patterns directly from gray-scale images. This approach eliminates the segmentation stage, and hence prevents any error occurring during this process from propagating to the skeletonization stage. Experiments are carried out on a thermal vein pattern images database. Results show that watershed algorithm is capable of extracting the skeletons of the veins effectively, and also avoids any artifacts introduced by the binarization stage.