Fingerprint feature extraction

Fingerprint feature extraction

This dissertation focuses on extraction of minutiae from the gray fingerprint images directly without going through the usual binarization and thinning processes. Multilayer feedforward neural network is used for extraction of minutiae. Two types of most commonly used minutiae, bifurcations and ridg...

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Bibliographic Details
Main Author: Tin Tin Aye.
Other Authors: Suganthan, Ponnuthurai Nagaratnam
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Online Access:http://hdl.handle.net/10356/3601
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3601
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spelling sg-ntu-dr.10356-36012023-07-04T15:01:24Z Fingerprint feature extraction Tin Tin Aye. Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics This dissertation focuses on extraction of minutiae from the gray fingerprint images directly without going through the usual binarization and thinning processes. Multilayer feedforward neural network is used for extraction of minutiae. Two types of most commonly used minutiae, bifurcations and ridge endings, are extracted. If the feature is not bifurcation or ridge ending, we name this image as the 'none' image class. Master of Science (Computer Control and Automation) 2008-09-17T09:33:16Z 2008-09-17T09:33:16Z 2003 2003 Thesis http://hdl.handle.net/10356/3601 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Tin Tin Aye.
Fingerprint feature extraction
description This dissertation focuses on extraction of minutiae from the gray fingerprint images directly without going through the usual binarization and thinning processes. Multilayer feedforward neural network is used for extraction of minutiae. Two types of most commonly used minutiae, bifurcations and ridge endings, are extracted. If the feature is not bifurcation or ridge ending, we name this image as the 'none' image class.
author2 Suganthan, Ponnuthurai Nagaratnam
author_facet Suganthan, Ponnuthurai Nagaratnam
Tin Tin Aye.
format Theses and Dissertations
author Tin Tin Aye.
author_sort Tin Tin Aye.
title Fingerprint feature extraction
title_short Fingerprint feature extraction
title_full Fingerprint feature extraction
title_fullStr Fingerprint feature extraction
title_full_unstemmed Fingerprint feature extraction
title_sort fingerprint feature extraction
publishDate 2008
url http://hdl.handle.net/10356/3601
_version_ 1772828006699499520

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