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Improved Partial Fingerprint Recognition by Integration of Minutiae Based and Parallel Division Methods


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DOI: https://doi.org/10.15866/irecap.v7i6.13607

Abstract


There are various methods available for the recognition of fingerprints.  But in certain cases, the analysis  of the fingerprints that are partially available becomes important, as in the cases where fingerprints are overlapped and hence not available completely, or in case of people who do rigorous work with hands like carpentry which can swab their fingerprints due to injuries. This may also happen in case that the fingerprint itself is not completely acquired. The minutiae based methods for fingerprint recognition are widely used. These methods after certain modifications can be used for the recognition of partial fingerprints. But as the complete fingerprint is not available, the number of minutiae points will be comparatively small. Thus there is a need of other methods to confirm this recognition: the ‘Parallel Division’ method and Wavelet Transform method serve this purpose. For these methods, firstly the parameters of the entire fingerprint are stored in the database as a template and then the partial fingerprint is processed to calculate their parameters and finally, the matching of the two templates is done to find if the fingerprints have matched. This approach  has been tested on images in FVC 2002 database and it was found to have an accuracy of 92.30%. However this is achieved with a trade-off with execution time as compared to other methods.
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Keywords


Minutiae Detection; Parallel Division; Wavelet Transform

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References


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