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Fingerprint Matching Based on Orientation Feature

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Abstract:

This paper presents a fast and reliable algorithm for fingerprint verification. Our proposed fingerprint verification algorithm is based on image-based fingerprint matching. The improved orientation feature vector of two fingerprints has been compared to compute the similarities at a given threshold. Fingerprint image has been aligned by rotating through an angle before feature vector is computed and matched. Row and Column variance feature vector of orientation image will be employed. The algorithm has been tested on the FVC2002 Databases. The performance of algorithm is measured in terms of GAR and FAR. At a threshold level of 1.1 % and at 5.7% FAR the GAR observed is 97.83%. The improved Feature vector will lower imposter acceptance rate at reasonable GAR and hence yields better GAR at lower FAR. The proposed algorithm is computationally very efficient and can be implemented on Real-Time Systems.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

888-894

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.888

Citation:

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Online since:

November 2011

Authors:

Ravinder Kumar, Pravin Chandra, M. Hanmandlu

Keywords:

False Acceptance Rate, Feature Vector, Fingerprint Verification, Genuine Acceptance Rate, Image-Based Matching

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Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

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References

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