Multiple Hand Based Biometrics Using Multiresolution Framework: A Comprehensive Guide to multiple hand-based biometrics - Couverture souple
Synopsis
Development of Hand-based Biometrics system using palmprint, fingerprint and finger-knuckle print (FKP). The appropriate orientation, multi-scale and multi-resolution transforms along with subspace analysis techniques for extracting the local and global features of fingerprint, palmprint and FKP are indentified. For this purpose various methods like Gabor filter, Radon transform, Wavelet transform along with PCA and LDA and imprint identification using 2D Gabor transform extracts local and global textural features from fingerprint, palmprint and FKP images. This method is invariant to rotation and translation variation of the imprint images. Selection of the performance parameters plays a significant role. Higher values of dx and dy makes the system more robust to noise but will not able to capture edge information at fine level i.e. it is more likely to smooth the image to the extent that the ridge and furrow details in the imprint are lost.
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Multiple Hand Based Biometrics Using Multiresolution Framework
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202519495
ISBN 13 : 9786202519496
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Development of Hand-based Biometrics system using palmprint, fingerprint and finger-knuckle print (FKP). The appropriate orientation, multi-scale and multi-resolution transforms along with subspace analysis techniques for extracting the local and global features of fingerprint, palmprint and FKP are indentified. For this purpose various methods like Gabor filter, Radon transform, Wavelet transform along with PCA and LDA and imprint identification using 2D Gabor transform extracts local and global textural features from fingerprint, palmprint and FKP images. This method is invariant to rotation and translation variation of the imprint images. Selection of the performance parameters plays a significant role. Higher values of dx and dy makes the system more robust to noise but will not able to capture edge information at fine level i.e. it is more likely to smooth the image to the extent that the ridge and furrow details in the imprint are lost. 148 pp. Englisch. N° de réf. du vendeur 9786202519496
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Multiple Hand Based Biometrics Using Multiresolution Framework
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202519495
ISBN 13 : 9786202519496
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dixit VaibhavDr. Vaibhav V Dixit is Professor in Electronics and Telecommunication Engineering Department at RMD Sinhgad School of Engineering, Pune, India. Having 19 years of Academic and 5 years Industrial experience, his field . N° de réf. du vendeur 385945720
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Multiple Hand Based Biometrics Using Multiresolution Framework
Edité par
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10 : 6202519495
ISBN 13 : 9786202519496
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Development of Hand-based Biometrics system using palmprint, fingerprint and finger-knuckle print (FKP). The appropriate orientation, multi-scale and multi-resolution transforms along with subspace analysis techniques for extracting the local and global features of fingerprint, palmprint and FKP are indentified. For this purpose various methods like Gabor filter, Radon transform, Wavelet transform along with PCA and LDA and imprint identification using 2D Gabor transform extracts local and global textural features from fingerprint, palmprint and FKP images. This method is invariant to rotation and translation variation of the imprint images. Selection of the performance parameters plays a significant role. Higher values of dx and dy makes the system more robust to noise but will not able to capture edge information at fine level i.e. it is more likely to smooth the image to the extent that the ridge and furrow details in the imprint are lost.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. N° de réf. du vendeur 9786202519496
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Multiple Hand Based Biometrics Using Multiresolution Framework | A Comprehensive Guide to multiple hand-based biometrics
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202519495
ISBN 13 : 9786202519496
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Multiple Hand Based Biometrics Using Multiresolution Framework | A Comprehensive Guide to multiple hand-based biometrics | Vaibhav Dixit | Taschenbuch | 148 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202519496 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 118282690
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Multiple Hand Based Biometrics Using Multiresolution Framework : A Comprehensive Guide to multiple hand-based biometrics
Edité par
LAP LAMBERT Academic Publishing, 2020
ISBN 10 : 6202519495
ISBN 13 : 9786202519496
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 - Development of Hand-based Biometrics system using palmprint, fingerprint and finger-knuckle print (FKP). The appropriate orientation, multi-scale and multi-resolution transforms along with subspace analysis techniques for extracting the local and global features of fingerprint, palmprint and FKP are indentified. For this purpose various methods like Gabor filter, Radon transform, Wavelet transform along with PCA and LDA and imprint identification using 2D Gabor transform extracts local and global textural features from fingerprint, palmprint and FKP images. This method is invariant to rotation and translation variation of the imprint images. Selection of the performance parameters plays a significant role. Higher values of dx and dy makes the system more robust to noise but will not able to capture edge information at fine level i.e. it is more likely to smooth the image to the extent that the ridge and furrow details in the imprint are lost. N° de réf. du vendeur 9786202519496
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