FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS

Minutiae classification and fingerprint classification in fingerprint evaluating process are very important. Fingerprint image contains about 150 minutiae’s. When we compare two fingerprint images, we compare latent and non latent fingerprint and we try to find 12 minutiae’s placed on the same posit...

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Main Authors: Miroslav Bača, Kornelije Rabuzin
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2006-06-01
Series:Journal of Information and Organizational Sciences
Online Access:http://jios.foi.hr/index.php/jios/article/view/4
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author Miroslav Bača
Kornelije Rabuzin
author_facet Miroslav Bača
Kornelije Rabuzin
author_sort Miroslav Bača
collection DOAJ
description Minutiae classification and fingerprint classification in fingerprint evaluating process are very important. Fingerprint image contains about 150 minutiae’s. When we compare two fingerprint images, we compare latent and non latent fingerprint and we try to find 12 minutiae’s placed on the same position on latent and non latent fingerprint images. After fingerprint image pre-processing we can perform classification or we can try to find minutiae. In this paper we describe the process of minutiae classification for comparison purposes. For that purpose we use Walsh function and Walsh transforms. Paper describes minutiae classification which is relatively new in recognition systems and gives contribution for development of practical fingerprint recognition systems. Paper also gives contribution in the theoretical part due to the fact that Walsh functions were not implemented in fingerprint pre-processing systems so far. The new symbolic database model for fingerprint storage gives multifunctional foundations for future research.
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spelling doaj.art-ae8c677e17ff49ff97e616cca27b87e82022-12-21T21:47:26ZengUniversity of Zagreb, Faculty of organization and informaticsJournal of Information and Organizational Sciences1846-33121846-94182006-06-013011FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONSMiroslav BačaKornelije RabuzinMinutiae classification and fingerprint classification in fingerprint evaluating process are very important. Fingerprint image contains about 150 minutiae’s. When we compare two fingerprint images, we compare latent and non latent fingerprint and we try to find 12 minutiae’s placed on the same position on latent and non latent fingerprint images. After fingerprint image pre-processing we can perform classification or we can try to find minutiae. In this paper we describe the process of minutiae classification for comparison purposes. For that purpose we use Walsh function and Walsh transforms. Paper describes minutiae classification which is relatively new in recognition systems and gives contribution for development of practical fingerprint recognition systems. Paper also gives contribution in the theoretical part due to the fact that Walsh functions were not implemented in fingerprint pre-processing systems so far. The new symbolic database model for fingerprint storage gives multifunctional foundations for future research.http://jios.foi.hr/index.php/jios/article/view/4
spellingShingle Miroslav Bača
Kornelije Rabuzin
FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
Journal of Information and Organizational Sciences
title FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
title_full FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
title_fullStr FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
title_full_unstemmed FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
title_short FINGERPRINTS PREPROCESSING USING WALSH FUNCTIONS
title_sort fingerprints preprocessing using walsh functions
url http://jios.foi.hr/index.php/jios/article/view/4
work_keys_str_mv AT miroslavbaca fingerprintspreprocessingusingwalshfunctions
AT kornelijerabuzin fingerprintspreprocessingusingwalshfunctions