Published by LAP LAMBERT Academic Publishing Mär 2015, 2015
ISBN 10: 3659511714 ISBN 13: 9783659511714
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 43.20
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Add to basketTaschenbuch. Condition: Neu. Neuware -Fingerprint matching is a widely used biometric authentication system that is done on the basis that every person in the world has its own fingerprint. Every fingerprint has its universal and uniqueness characteristics and widely acceptability. We have mentioned that each fingerprint is formed in the womb during the age 17th week of the fetus and remain unchanged throughout the whole life. In our study we have tried to find out the difference between the input fingerprints by concept of the uniqueness of the fingerprints. For experiment we have taken the concept of matching any two fingerprints from the online journal [8]. We have seen that their input fingerprint, histogram equalization for enhancing the fingerprints, binarization, image segmentation (Block direction estimation and ROI extraction), and false minutia removal, minutia matcher (Alignment stage and matching stage) are discussed. After that we have mentioned an exceptional concept that every image give its own matrix which help to find out the difference between the input fingerprint images.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Published by LAP LAMBERT Academic Publishing Mrz 2015, 2015
ISBN 10: 3659511714 ISBN 13: 9783659511714
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 43.20
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fingerprint matching is a widely used biometric authentication system that is done on the basis that every person in the world has its own fingerprint. Every fingerprint has its universal and uniqueness characteristics and widely acceptability. We have mentioned that each fingerprint is formed in the womb during the age 17th week of the fetus and remain unchanged throughout the whole life. In our study we have tried to find out the difference between the input fingerprints by concept of the uniqueness of the fingerprints. For experiment we have taken the concept of matching any two fingerprints from the online journal [8]. We have seen that their input fingerprint, histogram equalization for enhancing the fingerprints, binarization, image segmentation (Block direction estimation and ROI extraction), and false minutia removal, minutia matcher (Alignment stage and matching stage) are discussed. After that we have mentioned an exceptional concept that every image give its own matrix which help to find out the difference between the input fingerprint images. 52 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659511714 ISBN 13: 9783659511714
Language: English
Seller: moluna, Greven, Germany
US$ 37.63
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hossain Md. ShahadatI was born in the first January, 1992 at Sharonkhola upazilla under Bagerhat district, Bangladesh. I am a student of Khulna University from where I have completed my Bachelor degree in applied. Mathematics in the .
Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659511714 ISBN 13: 9783659511714
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 43.20
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fingerprint matching is a widely used biometric authentication system that is done on the basis that every person in the world has its own fingerprint. Every fingerprint has its universal and uniqueness characteristics and widely acceptability. We have mentioned that each fingerprint is formed in the womb during the age 17th week of the fetus and remain unchanged throughout the whole life. In our study we have tried to find out the difference between the input fingerprints by concept of the uniqueness of the fingerprints. For experiment we have taken the concept of matching any two fingerprints from the online journal [8]. We have seen that their input fingerprint, histogram equalization for enhancing the fingerprints, binarization, image segmentation (Block direction estimation and ROI extraction), and false minutia removal, minutia matcher (Alignment stage and matching stage) are discussed. After that we have mentioned an exceptional concept that every image give its own matrix which help to find out the difference between the input fingerprint images.