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An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System

by Benson-Emenike Mercy E., Nwachukwu E.O.
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 6
Year of Publication: 2015
Authors: Benson-Emenike Mercy E., Nwachukwu E.O.
10.5120/ijais2015451420

Benson-Emenike Mercy E., Nwachukwu E.O. . An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System. International Journal of Applied Information Systems. 9, 6 ( September 2015), 37-42. DOI=10.5120/ijais2015451420

@article{ 10.5120/ijais2015451420,
author = { Benson-Emenike Mercy E., Nwachukwu E.O. },
title = { An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2015 },
volume = { 9 },
number = { 6 },
month = { September },
year = { 2015 },
issn = { 2249-0868 },
pages = { 37-42 },
numpages = {9},
url = { https://www.ijais.org/archives/volume9/number6/815-2015451420/ },
doi = { 10.5120/ijais2015451420 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:00:15.108291+05:30
%A Benson-Emenike Mercy E.
%A Nwachukwu E.O.
%T An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 9
%N 6
%P 37-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The quality of the biometric feature obtained after biometric image extraction and preprocessing improves classifier accuracy and determines the degree and standard of user authentication, to a large extent. Preprocessing is the process of preparing the input images (face or fingerprints) to be ready for the next step of the authentication system, in order to produce a good enough quality of output face or fingerprint image. In this paper, we present an efficient face and finger print image preprocessing using Enhanced Extracted Face (EEF) method and Plainarized Region of Interest (PROI) method respectively. The aim is to reduce one or more of the following –False accept rate (FAR), False reject rate (FRR), Failure to enroll rate (FTE) and increase accuracy and recognition speed.

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Index Terms

Computer Science
Information Sciences

Keywords

Multibiometric Authentication Enhanced Extracted Face (EEF) Plainarized Region of Interest (PROI) Preprocessing Recognition speed

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