TY - GEN
T1 - Dynamically subsumed-OVA SVMs for fingerprint classification
AU - Hong, Jin Hyuk
AU - Cho, Sung Bae
PY - 2006
Y1 - 2006
N2 - A novel method to fingerprint classification, in which the naïve Bayes classifier (NB) and OVA SVMs are integrated, is presented. In order to solve the tie problem of combing OVA SVMs, we propose a subsumption architecture dynamically organized by the probability of classes. NB calculates the probability using singularities and pseudo codes, while OVA SVMs are trained on FingerCode. The proposed method not only tolerates ambiguous fingerprint images by combining different fingerprint features, but produces a classification accuracy of 90.8% for 5-class classification on the NIST 4 database, that is higher than conventional methods.
AB - A novel method to fingerprint classification, in which the naïve Bayes classifier (NB) and OVA SVMs are integrated, is presented. In order to solve the tie problem of combing OVA SVMs, we propose a subsumption architecture dynamically organized by the probability of classes. NB calculates the probability using singularities and pseudo codes, while OVA SVMs are trained on FingerCode. The proposed method not only tolerates ambiguous fingerprint images by combining different fingerprint features, but produces a classification accuracy of 90.8% for 5-class classification on the NIST 4 database, that is higher than conventional methods.
UR - http://www.scopus.com/inward/record.url?scp=33749544188&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749544188&partnerID=8YFLogxK
U2 - 10.1007/11801603_160
DO - 10.1007/11801603_160
M3 - Conference contribution
AN - SCOPUS:33749544188
SN - 3540366679
SN - 9783540366676
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1196
EP - 1200
BT - PRICAI 2006
PB - Springer Verlag
T2 - 9th Pacific Rim International Conference on Artificial Intelligence
Y2 - 7 August 2006 through 11 August 2006
ER -