Noisy and incomplete fingerprint classification using local ridge distribution models-Reference-Cited by-同舟云学术

Noisy and incomplete fingerprint classification using local ridge distribution models

Published:2015-02 Issue:2 Volume:48 Page:473-484
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Jung Hye-Wuk,Lee Jee-Hyong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference28 articles.

1. Handbook of Fingerprint Recognition;Maltoni,2003

2. Detection of singular points in fingerprint images;Srinivasan;Pattern Recognit.,1992

3. Singular points detection based on multi-resolution in fingerprint images;Weng;Neurocomputing,2012

4. W. Feng, C. Yun, W. Hao, W. Xiu-you, Fingerprint classification based on improved singular points detection and central symmetrical axis, in: Proceedings of the Artificial Intelligence and Computational Intelligence, 2009, pp. 508–512.

5. Classification and Uses of Fingerprint;Henry,1900

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