DocumentCode
314306
Title
Unsupervised hierarchical fingerprint matching
Author
Ozbayoglu, A. Murat ; Degli, C.H.
Author_Institution
Smart Eng. Syst. Lab., Missouri Univ., Rolla, MO, USA
Volume
3
fYear
1997
fDate
9-12 Jun 1997
Firstpage
1439
Abstract
A hierarchial classification and identification model for fingerprint matching is presented. The proposed system categorizes the fingerprint into initial classes. The model uses enhanced fingerprints obtained by frequency domain processing as input, and classifies them with an unsupervised neural network. Finally, the identification is performed within these classes using another neural network with different features. The model is tested for several fingerprints, the result are analyzed and discussed
Keywords
fingerprint identification; frequency-domain analysis; image classification; neural nets; frequency domain processing; hierarchial classification; identification model; unsupervised hierarchical fingerprint matching; unsupervised neural network; Band pass filters; Data mining; Feature extraction; Fingerprint recognition; Frequency; Image converters; Image matching; Impedance matching; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614006
Filename
614006
Link To Document