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: firstname.lastname@example.org).
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.