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

Benson-Emenike Mercy E., Nwachukwu E.O.. Published in Security

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Benson-Emenike Mercy E., Nwachukwu E.O.
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  1. Benson-Emenike Mercy E. and Nwachukwu E.O.. Article: An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System. International Journal of Applied Information Systems 9(6):37-42, September 2015. BibTeX

    	author = "Benson-Emenike Mercy E. and Nwachukwu E.O.",
    	title = "Article: An Efficient Image Preprocessing in an Improved Intelligent Multi Biometric Authentication System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 9,
    	number = 6,
    	pages = "37-42",
    	month = "September",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"


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