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Critical Analysis and Detection of Altered Fingerprints Using Evolutionary Computation Algorithm

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Abstract:

The widespread operation of modified algorithm (National Institution of Standard Technology Fingerprint image Quality (NIFQ)) in government applications allow some persons with illegal environment by neglecting the detection of altered fingerprints. By using the fingerprint quality assessment software, it is difficult to find the altered fingerprints, since the quality of image does not degrade. This paper focuses on optimizing the modified NFIQ algorithm by implementing particle swarm optimization (PSO) based on a fingerprint identification system. It can also be helpful in improving the performance by accuracy and robustness for detecting the fingerprint which is altered.

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Periodical:

Applied Mechanics and Materials (Volume 573)

Pages:

483-488

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.573.483

Citation:

Cite this paper

Online since:

June 2014

Authors:

K. Latha, C. Manikandan*

Keywords:

Altered Fingerprint, Fingerprint, Fingerprint Identification, Optimize, Particle Swarm Optimization (PSO)

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Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

References

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