DocumentCode
2200024
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
fYear
2006
fDate
14-17 Nov. 2006
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/TENCON.2006.344104
Filename
4142219
Link To Document