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Reseach Article

A Multimodal Biometric System using Frequency based Features

Published on August 2011 by Hitendra V. Patil, Gokul P. Khaire, Sandeep P. Kholambe
journal_cover_thumbnail
National Technical Symposium on Advancements in Computing Technologies
Foundation of Computer Science USA
NTSACT - Number 1
August 2011
Authors: Hitendra V. Patil, Gokul P. Khaire, Sandeep P. Kholambe
269ddc95-d6da-4511-a8f7-41d17859bb24

Hitendra V. Patil, Gokul P. Khaire, Sandeep P. Kholambe . A Multimodal Biometric System using Frequency based Features. National Technical Symposium on Advancements in Computing Technologies. NTSACT, 1 (August 2011), 25-30.

@article{
author = { Hitendra V. Patil, Gokul P. Khaire, Sandeep P. Kholambe },
title = { A Multimodal Biometric System using Frequency based Features },
journal = { National Technical Symposium on Advancements in Computing Technologies },
issue_date = { August 2011 },
volume = { NTSACT },
number = { 1 },
month = { August },
year = { 2011 },
issn = 0975-8887,
pages = { 25-30 },
numpages = 6,
url = { /proceedings/ntsact/number1/3181-ntst002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Technical Symposium on Advancements in Computing Technologies
%A Hitendra V. Patil
%A Gokul P. Khaire
%A Sandeep P. Kholambe
%T A Multimodal Biometric System using Frequency based Features
%J National Technical Symposium on Advancements in Computing Technologies
%@ 0975-8887
%V NTSACT
%N 1
%P 25-30
%D 2011
%I International Journal of Computer Applications
Abstract

The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specifictarget application. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach results in a homogeneous biometric vector, integrating iris and fingerprint data. Successively, a hamming-distance-based matching algorithm deals with the unified homogenous biometric vector.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fusion techniques identification systems iris and fingerprint biometry multimodal biometric systems