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Algorithms Efficient Segmentation Non Ideal by Rapaka Satish (9 results)
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Algorithms for Efficient Segmentation of Non-ideal Iris Images: Optimization Based Segmentation Techniques For Iris Recognition System
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Algorithms for Efficient Segmentation of Non-ideal Iris Images: Optimization Based Segmentation Techniques For Iris Recognition System
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Condition: New.
-
Algorithms for Efficient Segmentation of Non-ideal Iris Images
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Algorithms for Efficient Segmentation of Non-ideal Iris Images
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Algorithms for Efficient Segmentation of Non-ideal Iris Images
Published by LAP LAMBERT Academic Publishing Jul 2024, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 140 pp. Englisch.
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Algorithms for Efficient Segmentation of Non-ideal Iris Images: Optimization Based Segmentation Techniques For Iris Recognition System
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Condition: New. Print on Demand.
-
Algorithms for Efficient Segmentation of Non-ideal Iris Images: Optimization Based Segmentation Techniques For Iris Recognition System
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Condition: New. PRINT ON DEMAND.
-
Algorithms for Efficient Segmentation of Non-ideal Iris Images
Published by LAP LAMBERT Academic Publishing Jul 2024, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Among the biometric technologies available, the iris biometric technology is the most accurate modality, because iris complex random patterns are unique and stable, they do not change throughout a person's lifetime. The Iris recognition is based on the fact that the human iris contains unique features and even genetically identical individuals have entirely independent iris textures. Iris segmentation is an essential step because the actual discriminating information will be present within the iris patterns. Therefore, it is plausible that the initial step in implementing an iris recognition system is separating the iris from irrelevant parts of an eye image, which are of no importance. A pre- segmentation using Otsu's multilevel thresholding and variants of fuzzy c-means (FCM) based on IPSO (improved PSO) and IDSA (improved differential search algorithm) has not been investigated in the literature. The recognition accuracy is affected by noise artefacts that are included during the capturing of iris images. This encourages to effective implementation and accurate pre-segmentation in the recognition framework.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch.
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Algorithms for Efficient Segmentation of Non-ideal Iris Images : Optimization Based Segmentation Techniques For Iris Recognition System
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207997123 ISBN 13: 9786207997121
Language: English
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Among the biometric technologies available, the iris biometric technology is the most accurate modality, because iris complex random patterns are unique and stable, they do not change throughout a person's lifetime. The Iris recognition is based on the fact that the human iris contains unique features and even genetically identical individuals have entirely independent iris textures. Iris segmentation is an essential step because the actual discriminating information will be present within the iris patterns. Therefore, it is plausible that the initial step in implementing an iris recognition system is separating the iris from irrelevant parts of an eye image, which are of no importance. A pre- segmentation using Otsu's multilevel thresholding and variants of fuzzy c-means (FCM) based on IPSO (improved PSO) and IDSA (improved differential search algorithm) has not been investigated in the literature. The recognition accuracy is affected by noise artefacts that are included during the capturing of iris images. This encourages to effective implementation and accurate pre-segmentation in the recognition framework.
