Fingerprint image segmentation using hierarchical technique

Fingerprints are the ridge and furrow patterns on the tip or the finger and its verification is an important biometric technique (or personal identification). The quality or the fingerprint image is the most significant (actor in a reliable matching process. Thus, any pre-processing algorithm should...

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Main Authors: Wan Abu Bakar, Wan Aezwani, Sulong, Ghazali
Format: Conference or Workshop Item
Language:English
Published: 2000
Subjects:
Online Access:http://eprints.utm.my/10969/1/WanAezwaniWan2000_FingerprintsentationUsingHierarchical.pdf
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author Wan Abu Bakar, Wan Aezwani
Sulong, Ghazali
author_facet Wan Abu Bakar, Wan Aezwani
Sulong, Ghazali
author_sort Wan Abu Bakar, Wan Aezwani
collection ePrints
description Fingerprints are the ridge and furrow patterns on the tip or the finger and its verification is an important biometric technique (or personal identification). The quality or the fingerprint image is the most significant (actor in a reliable matching process. Thus, any pre-processing algorithm should aim to enhance the quality of the existing features without creating false features [I). This scenario brings the idea or the research. The research rocus on the segmentation approach. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples or data that is collected through an available fingerprint device.
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spelling utm.eprints-109692010-11-16T05:12:46Z http://eprints.utm.my/10969/ Fingerprint image segmentation using hierarchical technique Wan Abu Bakar, Wan Aezwani Sulong, Ghazali QA76 Computer software TR Photography Fingerprints are the ridge and furrow patterns on the tip or the finger and its verification is an important biometric technique (or personal identification). The quality or the fingerprint image is the most significant (actor in a reliable matching process. Thus, any pre-processing algorithm should aim to enhance the quality of the existing features without creating false features [I). This scenario brings the idea or the research. The research rocus on the segmentation approach. The purpose of the study is to identify a segmentation approach of fingerprint image by considering several approaches namely Hierarchical technique and Region growing by pixel aggregation technique. The process is vital when to apply next pre-processing stages i.e. thinning, identifying between true and false minutiae and minutiae extraction process. The research is supported by 50 samples or data that is collected through an available fingerprint device. 2000-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/10969/1/WanAezwaniWan2000_FingerprintsentationUsingHierarchical.pdf Wan Abu Bakar, Wan Aezwani and Sulong, Ghazali (2000) Fingerprint image segmentation using hierarchical technique. In: National Conference on Telecommunication Technology 2000, 20th - 21st Nov. 2000, Hyatt Regency Hotel, Johor Bahru.
spellingShingle QA76 Computer software
TR Photography
Wan Abu Bakar, Wan Aezwani
Sulong, Ghazali
Fingerprint image segmentation using hierarchical technique
title Fingerprint image segmentation using hierarchical technique
title_full Fingerprint image segmentation using hierarchical technique
title_fullStr Fingerprint image segmentation using hierarchical technique
title_full_unstemmed Fingerprint image segmentation using hierarchical technique
title_short Fingerprint image segmentation using hierarchical technique
title_sort fingerprint image segmentation using hierarchical technique
topic QA76 Computer software
TR Photography
url http://eprints.utm.my/10969/1/WanAezwaniWan2000_FingerprintsentationUsingHierarchical.pdf
work_keys_str_mv AT wanabubakarwanaezwani fingerprintimagesegmentationusinghierarchicaltechnique
AT sulongghazali fingerprintimagesegmentationusinghierarchicaltechnique