Abstract
Thinning is the important steps in pre-processing phase of fingerprint recognition. It explains the visual quality of skeleton with 1-pixel unit width. This paper presents the implementation work of famous thinning algorithms and enhances the Zhang-Suen algorithm in the facet of removal of pixel criteria for preserving the connectivity of pattern, remove noisy points, and for sensitivity of the binary image. The performances of the implemented algorithms are evaluated using Mean Square Error, Peak Signal Noise Ratio, and computational time measurement standard. The implementation is done on fingerprint databases FVC2000 and FingerDos using java platform.
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