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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 21 | Page No.: 3286-3291
DOI: 10.3923/jas.2007.3286.3291
 
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A Robust Correlation Based Fingerprint Matching Algorithm for Verification

Abdullah Cavusoglu and Salih Gorgunoglu

Abstract:
In this study, we present a new correlation-based fingerprint verification algorithm which segments the image to start with, proceeds by determining the orientation fields then finds the Reference Point (RP) and finally normalizes it before the application of the suggested algorithm. In this study, instead of a single correlation value-as in standard template matching-the mean value of correlation factors (i.e., corresponding to the signatures which are obtained from certain radius distances from the RP) are calculated and compared. If it is over a certain threshold the result of the matching process is positive otherwise negative. The algorithm does not need the storage of the whole FI and helps reducing the required space for them. The experiments executed on FVC2000 have shown that, the suggested algorithm is successful not only on the good quality FI but also on the bad or poor quality FI. The algorithm is fast and robust providing accurate results in most of the times.
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How to cite this article:

Abdullah Cavusoglu and Salih Gorgunoglu, 2007. A Robust Correlation Based Fingerprint Matching Algorithm for Verification. Journal of Applied Sciences, 7: 3286-3291.

DOI: 10.3923/jas.2007.3286.3291

URL: https://scialert.net/abstract/?doi=jas.2007.3286.3291

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