Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202527846 ISBN 13: 9786202527842
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202531460 ISBN 13: 9786202531467
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202520523 ISBN 13: 9786202520522
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202531460 ISBN 13: 9786202531467
Librería: preigu, Osnabrück, Alemania
EUR 36,25
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Añadir al carritoTaschenbuch. Condición: Neu. DWT, Complex Wavelet Transform and THFB for Iris Recognition | Santosh Randive (u. a.) | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202531467 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202531460 ISBN 13: 9786202531467
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Iris Recognition System is a process of recognizing an individual by analyzing the random pattern of iris and comparing with database. A comparative analysis is performed with wavelet transform such as Discrete Wavelet Transform (DWT), Rotated Complex Wavelet Filter (RCWF) and Triplet Half-Band Filter Bank (THFB) for iris recognition. These approaches are tested on various databases. The process starts from pre-processing. In pre-processing stage the image is enhanced, segmented and normalized. Now smoothed image is taken into consideration for feature extraction using above mentioned wavelet transforms. Finally a post-classifier is applied to resultant image for reducing false rejection rate. 76 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202527846 ISBN 13: 9786202527842
Librería: Majestic Books, Hounslow, Reino Unido
EUR 62,58
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202527846 ISBN 13: 9786202527842
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 63,91
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202531460 ISBN 13: 9786202531467
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Iris Recognition System is a process of recognizing an individual by analyzing the random pattern of iris and comparing with database. A comparative analysis is performed with wavelet transform such as Discrete Wavelet Transform (DWT), Rotated Complex Wavelet Filter (RCWF) and Triplet Half-Band Filter Bank (THFB) for iris recognition. These approaches are tested on various databases. The process starts from pre-processing. In pre-processing stage the image is enhanced, segmented and normalized. Now smoothed image is taken into consideration for feature extraction using above mentioned wavelet transforms. Finally a post-classi¿er is applied to resultant image for reducing false rejection rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202531460 ISBN 13: 9786202531467
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Iris Recognition System is a process of recognizing an individual by analyzing the random pattern of iris and comparing with database. A comparative analysis is performed with wavelet transform such as Discrete Wavelet Transform (DWT), Rotated Complex Wavelet Filter (RCWF) and Triplet Half-Band Filter Bank (THFB) for iris recognition. These approaches are tested on various databases. The process starts from pre-processing. In pre-processing stage the image is enhanced, segmented and normalized. Now smoothed image is taken into consideration for feature extraction using above mentioned wavelet transforms. Finally a post-classifier is applied to resultant image for reducing false rejection rate.