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
Authors e-mail:,,,
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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