Image enhancement algorithm for ink-on-paper fingerprints

Authors:
Raghav Agrawal;Badrinath Srinivas;Phalguni Gupta
Affiliations:
Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, India;Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Venue:
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Year:
2011

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Abstract

Quality of a scanned ink-on-paper fingerprint (or offline fingerprint) is generally poorer than that of online fingerprint and therefore, it requires an efficient enhancement method. This paper presents an algorithm to enhance the offline fingerprints using adaptive techniques. The algorithm handles certain problems that are specific to this type of fingerprints. It involves fingerprint extraction, intra-image classification followed by adaptive region enhancement of classified regions. It has been tested on IIT Kanpur database. The results show that the proposed algorithm performs well in enhancing ink-on-paper fingerprints.