Fingerprint Reconstruction: From Minutiae

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 249)

Abstract

Fingerprint is one of the very important biometric features used to identify humans across the globe. Minutiae based representation is the most widely used fingerprint representation scheme among other schemes available. Since minutiae representation is a compacted one, there has been an impression that the minutiae template does not contain sufficient information to reconstruct the original grayscale fingerprint image. This misconception has been proven to be incorrect, several algorithms have been proposed that can reconstruct fingerprint images from minutiae templates. But all these algorithms have one common drawback that many spurious minutiae, which are not included in the original minutiae template are generated in the reconstructed image. Moreover, some of these techniques can only reconstruct a partial fingerprint. In this paper, a novel fingerprint reconstruction algorithm is proposed, which not only reconstructs the whole fingerprint, but the reconstructed fingerprint contains very few spurious minutiae. The proposed algorithm reconstructs the continuous phase from minutiae. Experimental results have shown that the proposed algorithm reconstructs whole fingerprint. It also contains very few spurious minutiae.

Keywords

Fingerprint fingerprint reconstruction phase image minutiae orientation field 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringGMR Institute of TechnologyRajamIndia

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