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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2015 Vol.5(6): 493-498 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2015.5.6.559

Preliminary Steps in the Process of Optimization Based on Fingerprint Identification

Maria-Liliana Costin
Abstract—Numerous possibilities of modeling a system of automated fingerprint identification allow us to choose the methods and algorithms that we consider useful in solving a concrete problem at a time. However, the statistical approach and artificial intelligence methods, urges us to use the latest and most useful techniques in the field of fingerprint identification, especially for use in indoor environment. This research focuses on the preliminary steps needed to be done over the fingerprints database, in order to assure an efficient transformation in the steps described below to reach the final scope: an integrated system to be used inside a Prison and/or in conjunction with data from the Police database or for commercial applications.

Index Terms—Fingerprints, optimization, statistical methods, artificial intelligence, filters, histogram equalization, global mean, local mean.

Maria-Liliana Costin is with the Babes-Bolyai University, Cluj-Napoca, România (e-mail: lilianacostin@yahoo.com).


Cite: Maria-Liliana Costin, "Preliminary Steps in the Process of Optimization Based on Fingerprint Identification," International Journal of Machine Learning and Computing vol.5, no. 6, pp. 493-498, 2015.

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