Title :
A Novel Technique for Fingerprint Classification Based on Fuzzy C-Means and Naive Bayes Classifier
Author :
Vitello, G. ; Sorbello, F. ; Migliore, G.I.M. ; Conti, V. ; Vitabile, S.
Author_Institution :
Dept. of Comput. Chem., Manage., Eng., Mech., Univ. of Palermo, Palermo, Italy
Abstract :
Fingerprint classification is a key issue in automatic fingerprint identification systems. One of the main goals is to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper, a novel technique, based on topological information, for efficient fingerprint classification is described. The proposed system is composed of two independent modules: the former module, based on Fuzzy C-Means, extracts the best set of training images, the latter module, based on Fuzzy C-Means and Naive Bayes classifier, assigns a class to each processed fingerprint using only directional image information. The proposed approach does not require any image enhancement phase. Experimental trials, conducted on a subset of the free downloadable PolyU database, show a classification rate of 91% over a 100 images test database using only 12 training examples.
Keywords :
Bayes methods; fingerprint identification; fuzzy set theory; image classification; learning (artificial intelligence); visual databases; Naive Bayes classifier; automatic fingerprint identification systems; directional image information; fingerprint classification; fingerprint database; free downloadable PolyU database; fuzzy c-means; independent module; item search time; topological information; training image extraction; Databases; Educational institutions; Fingerprint recognition; Image matching; NIST; Support vector machine classification; Training; Directional Images; Fingerprint Classification; Fuzzy C-Means; Naive Bayes Classifier;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-4799-4326-5
DOI :
10.1109/CISIS.2014.23