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Improved Latent Fingerprint Identification using Minutiae- Matching Method


Author(s):

Chris Maria Antony , Mar Athanasius College of Engineering, Kothamangalam, India; Kalana R, Mar Athanasius College of Engineering, Kothamangalam, India; Leya Elizabeth Sunny, Mar Athanasius College of Engineering, Kothamangalam, India

Keywords:

AFIS, Minutiea, Tenprint, Binarizing, Morphing

Abstract:

Comparing a latent fingerprint minutiae set against a tenprint fingerprint minutiae set using an automated fingerprint identification system is a challenging problem. This is mainly because latent fingerprints obtained from crime scenes are mostly partial fingerprints, and most automated systems expect approximately the same number of minutiae between query and the reference fingerprint under comparison for good performance. In this work, we propose a methodology to reduce the minutiae set of tenprint with respect to that of query latent minutiae set by registering the orientation field of latent fingerprint with the tenprint orientation field. We report the performance of our registration algorithm on the database .DAT which is in-built in MATLAB. The system will accept and recognize fingerprint obtained in any angle. It reduces the search space for performing matching. By reducing the search space of minutiae from the fingerprint, we can improve the performance of automated identification systems for latent fingerprints. The system works at high speed.


Other Details:

Manuscript Id :NCTTP015
Publication Date: 06/05/2017
Page(s): 58-60
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