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Journal > IAES International Journal of Artificial Intelligence (IJ-AI) > Fingerprint classification using fuzzy-neural network and other methods

 

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 3, No 3: September 2014
Fingerprint classification using fuzzy-neural network and other methods
Fakir, Mohamed ( Faculty of Sciences and Technics)
Article Info   ABSTRACT
Published date:
30 Nov 2014
 
The fingerprints are unique to each individual, they can be used as a means to distinguish one individual from another.Therefore they are used to identify a person. Fingerprint Classification is done to associate a given fingerprint to one of the existing classes, such as left loop, right loop, arch, tented arch and whorl. Classifying fingerprint images is a very complex pattern recognition problem, due to properties of intra-class diversitiesand inter-class similarities. Its objective is to reduce the responsetime and reducing the search space in an automatic identificationsystem fingerprint (AIS), in classifying fingerprints. In this papers we present a system of fingerprint classificationbased on singular characteristics for extracting feature vectorsand neural networks and fuzzy neural networks, SVM and Knearest neighbour for classifying.
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