Paper Info
Title
Enhancements to latent fingerprints in forensic applications
Abstract
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.
Year
DOI
Venue
2014
10.1109/ICDSP.2014.6900702
Digital Signal Processing
Keywords
DocType
ISSN
digital forensics,filtering theory,fingerprint identification,image enhancement,image matching,ISO/IEC 19794-2 standard fingerprint templates,data collection,fingerprint landmarks,fingerprint matching,forensic applications,global adaptive binarization,global minutia features,image enhancement filters,latent fingerprint enhancement,lights-out mode,live-scanners,local adaptive binarization,plain fingerprint database,region of interest,ridge impression quality,rolled fingerprint database,semiautomated latent fingerprint identification system,standard NIST SD-27 latent prints database,standard law enforcement database,ISO/IEC 19794-2 format,emboss filter,identification,latent fingerprints,sobel filter
Conference
1546-1874
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
N. Pattabhi Ramaiah131.73
A. Tirupathi Rao200.68
C. Krishna Mohan312417.83