An adaptive fingerprint post-processing algorithm based on mathematical morphology

Authors:
Fei Su;Anni Cai
Affiliations:
Beijing University of Posts and Telecommunications;Beijing University of Posts and Telecommunications
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

Citing 4
Cited 0

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Image Processing, Analysis, and Machine Vision

Image Processing, Analysis, and Machine Vision

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Abstract

In this paper, an adaptive post-processing method using mathematical morphology combined with analyzing the properties of each candidate minutia based on the gray-level image, binary image, local ridge spacing and local orientation is presented to decide whether the minutia is false or true and to eliminate the false one The experiment results demonstrate the effectiveness to reduce the number of false minutiae encountered and improve the thinning fingerprint images at the same time.