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Reseach Article

Fingerprint Features Extraction and Matching

Published on May 2012 by Unhale A. A., V. G Asutkar
National Conference on Advancement in Electronics & Telecommunication Engineering
Foundation of Computer Science USA
NCAETE - Number 4
May 2012
Authors: Unhale A. A., V. G Asutkar
f1bbdde0-3446-4e3b-a71a-639dc203b450

Unhale A. A., V. G Asutkar . Fingerprint Features Extraction and Matching. National Conference on Advancement in Electronics & Telecommunication Engineering. NCAETE, 4 (May 2012), 28-32.

@article{
author = { Unhale A. A., V. G Asutkar },
title = { Fingerprint Features Extraction and Matching },
journal = { National Conference on Advancement in Electronics & Telecommunication Engineering },
issue_date = { May 2012 },
volume = { NCAETE },
number = { 4 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 28-32 },
numpages = 5,
url = { /proceedings/ncaete/number4/6617-1107/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement in Electronics & Telecommunication Engineering
%A Unhale A. A.
%A V. G Asutkar
%T Fingerprint Features Extraction and Matching
%J National Conference on Advancement in Electronics & Telecommunication Engineering
%@ 0975-8887
%V NCAETE
%N 4
%P 28-32
%D 2012
%I International Journal of Computer Applications
Abstract

The proposed ridge features are composed of four elements: ridge count, ridge length, ridge curvature direction, and ridge type. For extracting ridge features, we also define the ridge-based coordinate system in a skeletonized image With the proposed ridge features and conventional minutiae features(minutiae type, orientation, and position), we propose a novel matching scheme using a breadth-first search to detect the matched minutiae pairs incrementally. proposed ridge feature gives additional information for fingerprint matching with little increment in template size and can be used in conjunction with existing minutiae features to increase the accuracy and robustness of fingerprint recognition systems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ridges count minutiae feature Matching