Enhancements to latent fingerprints in forensic applications

Ramaiah, N P and Rao, A T and C, Krishna Mohan (2014) Enhancements to latent fingerprints in forensic applications. In: 19th International Conference on Digital Signal Processing (DSP), 20-23 Aug. 2014, Hong Kong.

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Latent fingerprint identification is a challenging task in criminal investigation due to the poor quality of ridge impressions and less region of interest on the fingerprint. In this paper, we propose a semi-automated latent fingerprint identification to markup fingerprint landmarks manually using the image enhancement filters which will improve the identification performance in lights-out mode. It uses the global and local adaptive binarization, and global minutia features with ISO/IEC 19794-2 standard fingerprint templates. In the latent fingerprint identification, the fingerprints are matched with rolled fingerprint database from standard law enforcement database. Also, the latent fingerprints are matched with the plain fingerprints database from the data collected using three different live-scanners. The efficacy of the proposed latent fingerprint identification systems is demonstrated on the standard NIST SD-27 (special database-27) latent prints database.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ISO/IEC 19794-2 format, emboss filter, identification, latent fingerprints, sobel filter
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 15 Sep 2015 06:01
Last Modified: 01 Sep 2017 09:22
URI: http://raiith.iith.ac.in/id/eprint/1938
Publisher URL: https://doi.org/10.1109/ICDSP.2014.6900702
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