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Intelligent Engineering Systems through Artificial Neural Networks, Volume 16

Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

Automatic fingerprint identification and classification has become one of the most important biometric technologies and drawn a substantial amount of attention in the past 10 years. Fingerprint recognition entails the extraction of patterns of ridges and furrows from the surface of a fingertip. The uniqueness of a fingerprint can be defined by a set of local ridge characteristics and their relationships. Currently more than a hundred of these characteristics and relationships, which are called minute details, have been identified. Among them, ridge ending and ridge bifurcation are the most commonly used features in fingerprint identification. Since automatic fingerprint recognition depends...

Abstract
1. Introduction
2. System Overview
3. Enhancement and Segmentation Algorithm
4. Experimental Results
5. Conclusion
References
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