Novel approach to automated fingerprint recognition

The paper describes an enhanced fingerprint recognition system consisting of image preprocessing, feature extraction and matching that runs accurately and effectively on a personal computer platform. The image preprocessing includes histogram equalisation, modification of directional codes, dynamic...

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Main Authors: Abdul Rahman, Abdul Wahab, S., H.Chin, E., C.Tan
Format: Article
Language:English
Published: IET Digital Library 1998
Subjects:
Online Access:http://irep.iium.edu.my/38265/1/Novel_approach_to_automated_fingerprint_recognition.pdf
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author Abdul Rahman, Abdul Wahab
S., H.Chin
E., C.Tan
author_facet Abdul Rahman, Abdul Wahab
S., H.Chin
E., C.Tan
author_sort Abdul Rahman, Abdul Wahab
collection IIUM
description The paper describes an enhanced fingerprint recognition system consisting of image preprocessing, feature extraction and matching that runs accurately and effectively on a personal computer platform. The image preprocessing includes histogram equalisation, modification of directional codes, dynamic thresholding and ridgeline thinning which are sufficient to enhance the image to a state ready for feature extraction. Only features extracted are stored in a file for fingerprint matching. The matching algorithm presented is a modification and improvement of the structural approach. Experimental results acquired for matching are accurate, reliable and fast for implementation using a PC and a fingerprint scanner. The proposed fingerprint recognition scheme can provide an efficient way of automated identification and can be extended to numerous other security or administration applications.
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spelling oai:generic.eprints.org:382652014-09-15T03:25:52Z http://irep.iium.edu.my/38265/ Novel approach to automated fingerprint recognition Abdul Rahman, Abdul Wahab S., H.Chin E., C.Tan T Technology (General) The paper describes an enhanced fingerprint recognition system consisting of image preprocessing, feature extraction and matching that runs accurately and effectively on a personal computer platform. The image preprocessing includes histogram equalisation, modification of directional codes, dynamic thresholding and ridgeline thinning which are sufficient to enhance the image to a state ready for feature extraction. Only features extracted are stored in a file for fingerprint matching. The matching algorithm presented is a modification and improvement of the structural approach. Experimental results acquired for matching are accurate, reliable and fast for implementation using a PC and a fingerprint scanner. The proposed fingerprint recognition scheme can provide an efficient way of automated identification and can be extended to numerous other security or administration applications. IET Digital Library 1998-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38265/1/Novel_approach_to_automated_fingerprint_recognition.pdf Abdul Rahman, Abdul Wahab and S., H.Chin and E., C.Tan (1998) Novel approach to automated fingerprint recognition. IEE Proceedings - Vision Image and Signal Processing, 145 (3). pp. 160-166. ISSN 1350-245X (P) 1359-7108 (O) http://digital-library.theiet.org/content/journals/10.1049/ip-vis_19981809
spellingShingle T Technology (General)
Abdul Rahman, Abdul Wahab
S., H.Chin
E., C.Tan
Novel approach to automated fingerprint recognition
title Novel approach to automated fingerprint recognition
title_full Novel approach to automated fingerprint recognition
title_fullStr Novel approach to automated fingerprint recognition
title_full_unstemmed Novel approach to automated fingerprint recognition
title_short Novel approach to automated fingerprint recognition
title_sort novel approach to automated fingerprint recognition
topic T Technology (General)
url http://irep.iium.edu.my/38265/1/Novel_approach_to_automated_fingerprint_recognition.pdf
work_keys_str_mv AT abdulrahmanabdulwahab novelapproachtoautomatedfingerprintrecognition
AT shchin novelapproachtoautomatedfingerprintrecognition
AT ectan novelapproachtoautomatedfingerprintrecognition