Paper Info
Title
A Novel Application of the Classifier DECOC Based on Fingerprint Identification
Abstract
Human fingerprints are rich in details, here called "minutiae". In this paper, a fingerprint recognition system based on a novel application of the classifier DECOC to the minutiae extraction and on an optimised matching algorithm will be presented. The minutiae extraction has been performed from fingerprint skeletons. To identify the different shapes and types of minutiae, a Data-driven Error Correcting Output Coding (DECOC) has been adopted to work as a classifier. The proposed classifier has been applied throughout the fingerprint skeleton to locate various minutiae. Extracted minutiae have been used then as identification marks for an automatic fingerprint matching that is based on distance, direction and type between two minutiae.
Year
DOI
Venue
2010
10.1109/DEXA.2010.64
DEXA Workshops
Keywords
Field
DocType
novel application,extracted minutia,classifier decoc,fingerprint identification,minutiae extraction,proposed classifier,optimised matching algorithm,data-driven error correcting output,fingerprint recognition system,automatic fingerprint matching,human fingerprint,fingerprint skeleton,bifurcation,pixel,biometrics,fingerprint recognition,testing,feature extraction,training data,fingerprint,matching
Computer vision,Pattern recognition,Minutiae,Fingerprint recognition,Computer science,Fingerprint,Feature extraction,Pixel,Artificial intelligence,Biometrics,Classifier (linguistics),Blossom algorithm
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Mossaad Ben Ayed102.03
F. Bouchhima2364.46
Mohamed Abid300.68