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Latent Fingerprint Matching based on Texture Descriptor using Hough Transform

by Sony Polumatla, L.padmalatha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 17
Year of Publication: 2014
Authors: Sony Polumatla, L.padmalatha
10.5120/18616-9920

Sony Polumatla, L.padmalatha . Latent Fingerprint Matching based on Texture Descriptor using Hough Transform. International Journal of Computer Applications. 106, 17 ( November 2014), 37-40. DOI=10.5120/18616-9920

@article{ 10.5120/18616-9920,
author = { Sony Polumatla, L.padmalatha },
title = { Latent Fingerprint Matching based on Texture Descriptor using Hough Transform },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 17 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number17/18616-9920/ },
doi = { 10.5120/18616-9920 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:39:42.508766+05:30
%A Sony Polumatla
%A L.padmalatha
%T Latent Fingerprint Matching based on Texture Descriptor using Hough Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 17
%P 37-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Latent fingerprint matching has played a critical role in identifying the suspects and criminals. Latent fingerprints are fingerprints which are obtained from crime scence. These are essential to forensics as well as law enforcement agencies to match & identify the criminals. Latents be the incomplete fingerprints to facilitate be regularly smudgy and blurred among small area, it contains huge deformation. Latent fingerprints are those that are not visible to the naked eye these prints consist of expected secretions of person skin. Here a new matching technique is planned for matching a Latents. This algorithm uses the Texture Descriptor with Hough Transform. The new fingerprint matching algorithm that uses both orientation field and minutiae information. The proposed matching technique perform the alignment between the Latent fingerprint and fingerprints in the database and also compute the match score.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Latent Texture descriptor Hough Transform minutiae

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