Neural Network based Minutiae Extraction from Skeletonized Fingerprints
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | No |
| Full text: | |
| Author(s): | Josef Ström Bartunek, Mikael Nilsson, Jörgen Nordberg, Ingvar Claesson |
| Title: | Neural Network based Minutiae Extraction from Skeletonized Fingerprints |
| Translated title: | Neurala Nät baserad Minutiae Extraktion från Skeletoniserade Fingeravtryck |
| Conference name: | TENCON 2006 IEEE Region 10 Conference |
| Year: | 2006 |
| City: | Hong Kong |
| ISI number: | 000246127500098 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling) School of Engineering S- 372 25 Ronneby +46 455 38 50 00 http://www.tek.bth.se/ |
| Authors e-mail: | josef.strombartunek@bth.se, mikael.nilsson@bth.se, jorgen.nordberg@bth.se, ingvar.claesson@bth.se |
| Language: | English |
| Abstract: | Human fingerprints are rich in details denoted minutiae. In this paper a method of minutiae extraction from fingerprint skeletons is described. To identify the different shapes and types of minutiae a neural network is trained to work as a classifier. The proposed neural network is applied throughout the fingerprint skeleton to locate various minutiae. A scheme to speed up the process is also presented. Extracted minutiae can then be used as identification marks for automatic fingerprint matching. |
| Subject: | Signal Processing\Detection and Classification Signal Processing\General |
| Keywords: | biometrics, fingerprint, minutiae, neural networks |
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