Iris Recognition is a challenging problem. Numerous research contributions are available in literature related to iris recognition and feature extraction but the current trend of wavelet and multiwavelet for iris image feature extraction are given special attention in this book. This book covers the development of an iris recognition system to verify the uniqueness of human iris and find its performance as a biometric. An effort has been made to address the real time challenges faced at the time of iris image segmentation and normalization. From the normalized block, feature are extracted using wavelet and multiwavelet. Feature level fusion technique has been also employed to find the best technique for feature extraction and to get most compact features.
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Dr. Kavita Khobragade, working as Associate Professor in Computer Science Department, Fergusson College (Autonomous), Pune, (MS), India from last 21 years and completed her Ph.D. from Dr. Babasaheb Ambedkar Marathwada University Aurangabad, (MS), India. She is a well known teacher and has written 26 text books for undergraduate students.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Iris Recognition is a challenging problem. Numerous research contributions are available in literature related to iris recognition and feature extraction but the current trend of wavelet and multiwavelet for iris image feature extraction are given special attention in this book. This book covers the development of an iris recognition system to verify the uniqueness of human iris and find its performance as a biometric. An effort has been made to address the real time challenges faced at the time of iris image segmentation and normalization. From the normalized block, feature are extracted using wavelet and multiwavelet. Feature level fusion technique has been also employed to find the best technique for feature extraction and to get most compact features. 188 pp. Englisch. Seller Inventory # 9783659742309
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Iris Recognition is a challenging problem. Numerous research contributions are available in literature related to iris recognition and feature extraction but the current trend of wavelet and multiwavelet for iris image feature extraction are given special attention in this book. This book covers the development of an iris recognition system to verify the uniqueness of human iris and find its performance as a biometric. An effort has been made to address the real time challenges faced at the time of iris image segmentation and normalization. From the normalized block, feature are extracted using wavelet and multiwavelet. Feature level fusion technique has been also employed to find the best technique for feature extraction and to get most compact features. Seller Inventory # 9783659742309
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khobragade KavitaDr. Kavita Khobragade, working as Associate Professor in Computer Science Department, Fergusson College (Autonomous), Pune, (MS), India from last 21 years and completed her Ph.D. from Dr. Babasaheb Ambedkar Marathwa. Seller Inventory # 151428593
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Iris Recognition is a challenging problem. Numerous research contributions are available in literature related to iris recognition and feature extraction but the current trend of wavelet and multiwavelet for iris image feature extraction are given special attention in this book. This book covers the development of an iris recognition system to verify the uniqueness of human iris and find its performance as a biometric. An effort has been made to address the real time challenges faced at the time of iris image segmentation and normalization. From the normalized block, feature are extracted using wavelet and multiwavelet. Feature level fusion technique has been also employed to find the best technique for feature extraction and to get most compact features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Seller Inventory # 9783659742309
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Taschenbuch. Condition: Neu. Iris Image Feature Extraction Using Multiwavelet Approach | Kavita Khobragade (u. a.) | Taschenbuch | 188 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659742309 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108772720
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