Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786207997121

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Algorithms for Efficient Segmentation of Non-ideal Iris Images

Rapaka, Satish; Rajesh Kumar, P

Published by KS Omniscriptum Publishing, 2024

ISBN 10: 6207997123 ISBN 13: 9786207997121

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Algorithms for Efficient Segmentation of Non-ideal Iris Images: Optimization Based Segmentation Techniques For Iris Recognition System

Rapaka, Satish; Rajesh Kumar, P

Published by LAP LAMBERT Academic Publishing, 2024

ISBN 10: 6207997123 ISBN 13: 9786207997121

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Algorithms for Efficient Segmentation of Non-ideal Iris Images

Satish Rapaka

Published by LAP LAMBERT Academic Publishing Jul 2024, 2024

ISBN 10: 6207997123 ISBN 13: 9786207997121

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Algorithms for Efficient Segmentation of Non-ideal Iris Images : Optimization Based Segmentation Techniques For Iris Recognition System

Satish Rapaka

Published by LAP LAMBERT Academic Publishing, 2024

ISBN 10: 6207997123 ISBN 13: 9786207997121

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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. Seller Inventory # 9786207997121

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