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Design and Implementation of Multi-model Biometric Identification System

by Safaa S. Omran, Maryam Abdulmunem Salih
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 15
Year of Publication: 2014
Authors: Safaa S. Omran, Maryam Abdulmunem Salih
10.5120/17448-8255

Safaa S. Omran, Maryam Abdulmunem Salih . Design and Implementation of Multi-model Biometric Identification System. International Journal of Computer Applications. 99, 15 ( August 2014), 14-21. DOI=10.5120/17448-8255

@article{ 10.5120/17448-8255,
author = { Safaa S. Omran, Maryam Abdulmunem Salih },
title = { Design and Implementation of Multi-model Biometric Identification System },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 15 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number15/17448-8255/ },
doi = { 10.5120/17448-8255 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:16.590636+05:30
%A Safaa S. Omran
%A Maryam Abdulmunem Salih
%T Design and Implementation of Multi-model Biometric Identification System
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 15
%P 14-21
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric recognition used to make personal identification based on pattern recognition methods. This research use fingerprint and iris recognition systems to build an active serial multimodal biometric identification system. Fingerprint identification algorithm is modified to be modified Delaney triangulation system. In the modified system only the surrounded triangles around each minutia were compared between the input and the stored template. While in the iris recognition system the segmentation method is modified and the recognition is based on the correlation filter. The recognition method is applied only on the lower part of the iris region that is less effected with noise. The proposed multimodal system gave a high accuracy with error rate equals (0. 9%).

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Index Terms

Computer Science
Information Sciences

Keywords

Multimodal biometric identification fingerprint iris.

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