Title :
Neural Network based Minutiae Extraction from Skeletonized Fingerprints
Author :
Bartunek, Josef Strom ; Nilsson, Mikael ; Nordberg, Jörgen ; Claesson, Ingvar
Author_Institution :
Dept. of Signal Process., Blekinge Inst. of Technol., Ronneby
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
Keywords :
feature extraction; fingerprint identification; image matching; image thinning; neural nets; automatic fingerprint matching; minutiae extraction; neural network; skeletonized fingerprint; Bifurcation; Data mining; Feedforward neural networks; Fingerprint recognition; Gray-scale; Multi-layer neural network; Neural networks; Neurons; Signal processing; Skeleton;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.344104
