Articles liés à Fingerprint Matching Through Feature Extraction &...
Synopsis
La correspondance d'empreintes digitales est un système d'authentification biométrique largement utilisé qui est fait sur la base que chaque personne dans le monde a sa propre empreinte digitale. Chaque empreinte digitale a ses caractéristiques universelles et uniques et est largement acceptable. Nous avons mentionné que chaque empreinte digitale est formée dans l'utérus pendant l'âge de 17 ans du fœtus et reste inchangée tout au long de la vie. Dans notre étude, nous avons essayé de trouver la différence entre les empreintes digitales d'entrée par concept de l'unicité des empreintes digitales. Pour l'expérience, nous avons pris le concept de faire correspondre deux empreintes digitales du journal en ligne [8]. Nous avons vu que leurs empreintes digitales d'entrée, leur égalisation d'histogramme pour améliorer les empreintes digitales, la binarisation, la segmentation d'image (estimation de direction de blocage et extraction du ROI), et la suppression des fausses minuties, minutia matcher (étape d'alignement et étape de correspondance) sont discutées. Après cela, nous avons mentionné un concept exceptionnel selon lequel chaque image donne sa propre matrice qui aide à trouver la différence entre les images d'empreintes digitales d'entrée.
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Fingerprint Matching Through Feature Extraction & Matrix Equalization
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659511714
ISBN 13 : 9783659511714
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : 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 . N° de réf. du vendeur 22451375
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Fingerprint Matching Through Feature Extraction & Matrix Equalization
Edité par
LAP LAMBERT Academic Publishing, 2015
ISBN 10 : 3659511714
ISBN 13 : 9783659511714
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659511714
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Fingerprint Matching Through Feature Extraction & Matrix Equalization
Edité par
LAP LAMBERT Academic Publishing Mrz 2015, 2015
ISBN 10 : 3659511714
ISBN 13 : 9783659511714
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659511714
Quantité disponible : 2 disponible(s)
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Fingerprint Matching Through Feature Extraction & Matrix Equalization
Edité par
LAP LAMBERT Academic Publishing Mär 2015, 2015
ISBN 10 : 3659511714
ISBN 13 : 9783659511714
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659511714
Quantité disponible : 2 disponible(s)