article

Adaptive fingerprint image enhancement with fingerprint image quality analysis

Authors:

Sung-Bae ChoAuthors Info & Claims

Image and Vision Computing, Volume 24, Issue 1

Pages 101 - 110

https://doi.org/10.1016/j.imavis.2005.09.017

Published: 01 January 2006 Publication History

Abstract

Accurate minutiae extraction from fingerprint images is heavily dependent on the quality of the fingerprint images. In order to improve the performance of the system, much effort has been made on the image enhancement algorithms. If the preprocessing is adaptive to the fingerprint image characteristics in the image enhancement step, the performance gets to be more robust. In this paper, we propose an adaptive preprocessing method, which extracts five features from the fingerprint images, analyzes image quality with clustering method, and enhances the images according to their characteristics. Experimental results indicate that the proposed method improves the performance of the fingerprint identification significantly.

References

[1]

Ratha, N.K., Karu, K., Chen, S. and Jain, A.K., A real-time matching system for large fingerprint databases. IEEE Transaction on Pattern Analysis and Machine Intelligence. v18 i8. 799-813.

[2]

Jain, L.C., Halici, U., Hayashi, I., Lee, S.B. and Tsutsui, S., . 1999. CRC Press.

[3]

Hong, L., Wan, Y. and Jain, A.K., Fingerprint image enhancement: algorithm and performance evaluation. IEEE Transaction on Pattern Analysis and Machine Intelligence. v20 i8. 777-789.

[4]

N.K. Ratha, R.M. Bolle, Fingerprint Image Quality Estimation, IBM Computer Science Research Report RC 21622, 1999

[5]

Lim, E., Jiang, X. and Yau, W., Fingerprint quality and validity analysis. 2002. IEEE International Conference on Image Processing (ICIP 2002).

[6]

R. Bolle, S. Pankanti, Y.-S. Yao, System and Method for Determining the Quality of Fingerprint Images, US Patent Number US 596356, 1999

[7]

Shen, L.L., Kot, A. and Koo, W.M., Quality measures of fingerprint images. 2001.

[8]

Lee, H.C. and Gaensslen, R.E., . 2001. CRC Press.

[9]

Jain, A.K., Pankanti, S., Prabhakar, S. and Ross, A., Recent advances in fingerprint verification. 2001.

[10]

Galton, F., . 1892. Macmillan, London.

[11]

Ikeda, N., Nakanishi, M., Fujii, K., Hatano, T., Shigematsu, S., Adachi, T., Okazaki, Y. and Kyuragi, H., Fingerprint image enhancement by pixel-parallel processing. 2002.

[12]

Karu, K. and Jain, A., Fingerprint classification. Pattern Recognition. v29 i3. 389-404.

[13]

Rao, A., . 1990. Springer, New York, NY.

[14]

Ward, J.H., Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association. v58 i301. 236-244.

[15]

Mojena, R., Hierarchical grouping methods and stopping rules: an evaluation. Computer Journal. v20. 353-363.

[16]

Milligan, G.W. and Cooper, K.C., An examination of procedures for determining the number of clusters in a data set. Psychometrika. v50. 159-179.

[17]

C.I. Watson, C.L. Wilson, NIST special database 4, fingerprint database. US nat'l, Inst. of Standards and Technology, 1992.

[18]

Kang, H., Lee, B., Kim, H., Shin, D. and Kim, J., A study on performance evaluation of fingerprint sensors. 2003.

Cited By

Rani RVasanth K(2022)An effective latent fingerprint enhancement and recognition system using dictionary learning and LCPnet mechanismsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22005643:5(6093-6108)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-220056
da Silva Vasconcelos RPedrini H(2018)Fingerprint Image Quality Assessment Based on Oriented Pattern AnalysisProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-030-13469-3_74(637-644)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1007/978-3-030-13469-3_74
Teixeira RLeite N(2017)A New Framework for Quality Assessment of High-Resolution Fingerprint ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2016.263152939:10(1905-1917)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1109/TPAMI.2016.2631529
Show More Cited By

Adaptive fingerprint image enhancement with fingerprint image quality analysis
1. Computing methodologies

Recommendations

Two-stage quality adaptive fingerprint image enhancement using Fuzzy C-means clustering based fingerprint quality analysis
Abstract
Fingerprint recognition techniques are dependent on the quality of fingerprint images. An efficient enhancement algorithm improves the performance of recognition algorithms for poor quality images. Performance improvement of the ...
Graphical Abstract

Display Omitted
Highlights
- Quality features are used for fingerprint quality estimation.
- Feature selection ...
Adaptive approach to fingerprint image enhancement
MoMM '10: Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

The purpose of fingerprint image enhancement is to improve the clarity and quality of its local features. The quality of fingerprint image determines the accuracy and reliability of minutia extraction which also determines the accuracy of an automatic ...
Fingerprint Image Enhancement: Algorithm and Performance Evaluation

A critical step in automatic fingerprint matching is to automatically and reliably extract minutiae from the input fingerprint images. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

Copyright © Elsevier B.V. © 2005.

Publisher

Butterworth-Heinemann

United States

Publication History

Published: 01 January 2006

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

11
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Rani RVasanth K(2022)An effective latent fingerprint enhancement and recognition system using dictionary learning and LCPnet mechanismsJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-22005643:5(6093-6108)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-220056
da Silva Vasconcelos RPedrini H(2018)Fingerprint Image Quality Assessment Based on Oriented Pattern AnalysisProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-030-13469-3_74(637-644)Online publication date: 19-Nov-2018
https://dl.acm.org/doi/10.1007/978-3-030-13469-3_74
Teixeira RLeite N(2017)A New Framework for Quality Assessment of High-Resolution Fingerprint ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2016.263152939:10(1905-1917)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1109/TPAMI.2016.2631529
(2016)Dry fingerprint image enhancement using fuzzy morphologyInternational Journal of Knowledge Engineering and Data Mining10.1504/IJKEDM.2016.0820744:1(40-53)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJKEDM.2016.082074
Munir MJaved MKhan S(2012)LettersNeurocomputing10.1016/j.neucom.2012.01.00285(62-67)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1016/j.neucom.2012.01.002
Yang YZhang ZHan FLin K(2012)Multiple Factors Based Evaluation of Fingerprint Images QualityCyberspace Safety and Security10.1007/978-3-642-35362-8_20(251-264)Online publication date: 12-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-35362-8_20
Agrawal RSrinivas BGupta P(2011)Image enhancement algorithm for ink-on-paper fingerprintsProceedings of the 7th international conference on Advanced Intelligent Computing10.1007/978-3-642-24728-6_42(311-318)Online publication date: 11-Aug-2011
https://dl.acm.org/doi/10.1007/978-3-642-24728-6_42
Khalil MMohamad DKhan MAl-Nuzaili Q(2010)Fingerprint verification using statistical descriptorsDigital Signal Processing10.1016/j.dsp.2009.12.00220:4(1264-1273)Online publication date: 1-Jul-2010
https://dl.acm.org/doi/10.1016/j.dsp.2009.12.002
Hong JCho SCho U(2009)A novel evolutionary approach to image enhancement filter designIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics10.1109/TSMCB.2009.201829239:6(1446-1457)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.1109/TSMCB.2009.2018292
Brancati NFrucci MBaja G(2009)Reconnecting Broken Ridges in Fingerprint ImagesProceedings of the 15th International Conference on Image Analysis and Processing10.1007/978-3-642-04146-4_79(739-747)Online publication date: 29-Aug-2009
https://dl.acm.org/doi/10.1007/978-3-642-04146-4_79
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents