Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Improved Pattern-based Fingerprint Image Preprocessing and Binarization Algorithm

Authors
Zhike Han, Minyuan Lu
Corresponding Author
Zhike Han
Available Online August 2012.
DOI
10.2991/iccasm.2012.264How to use a DOI?
Keywords
Image enhancement, Binarization, Recursivealgorithm
Abstract

In this paper, by using the improved fingerprint pattern, the fingerprint preprocessing effect of using Gabor filtering have been effectively improved. Then, by combining the advantages of the direction-based binarization algorithm and the local threshold algorithm, this paper can effectively get the fingerprint image binarization and remains the topological structures of the image. Finally, the experiments prove that the fingerprint image enhancement and improved binarization algorithm can improve the accuracy of the fingerprint feature extraction.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.264
ISSN
1951-6851
DOI
10.2991/iccasm.2012.264How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhike Han
AU  - Minyuan Lu
PY  - 2012/08
DA  - 2012/08
TI  - Improved Pattern-based Fingerprint Image Preprocessing and Binarization Algorithm
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1040
EP  - 1043
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.264
DO  - 10.2991/iccasm.2012.264
ID  - Han2012/08
ER  -