Items related to Development of Robust Iris Localization and Impairment...
Development of Robust Iris Localization and Impairment Pruning Schemes: Towards improved iris recognition systems - Softcover
Synopsis
Iris is the sphincter having flowery pattern around pupil in eye. The high randomness of the pattern makes iris unique for each individual, and hence a candidate for machine recognition of identity of an individual. The first part of the thesis investigates the bottlenecks of the existing localization approaches and proposes a morphological method of devising an adaptive binarization threshold for pupil detection, and also contributes in modifying conventional integrodifferential operator based iris detection using canny detected edge map. The review of related works on matching leads to the observation that local features like Scale Invariant Feature Transform(SIFT) matches the keypoints on the basis of 128-D local descriptors, hence it sometimes falsely pairs two keypoints which are from different portions of two iris images. Subsequently the need for pruning of faulty SIFT pairs is felt. The second part of the thesis proposes two methods of filtering (Angular Filtering and Scale Filtering) the SIFT impairments (faulty pairs) based on the knowledge of spatial information of the keypoints. The pruning algorithms experimentally show higher accuracy and increased separability.
"synopsis" may belong to another edition of this title.
About the Author
Sambit Bakshi is presently a Ph.D. scholar working on emerging trends of biometric systems. His research interests include Image Processing, Computer Vision and Pattern Recognition. The work presented in this book is awarded Innovative Student Projects Award – 2011 (Master’s Level) by Indian National Academy of Engineering (INAE).
"About this title" may belong to another edition of this title.
Buy New
View this item
£ 44.13
£ 9.62 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Development of Robust Iris Localization and Impairment...
Seller Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Taschenbuch
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 -Iris is the sphincter having flowery pattern around pupil in eye. The high randomness of the pattern makes iris unique for each individual, and hence a candidate for machine recognition of identity of an individual. The first part of the thesis investigates the bottlenecks of the existing localization approaches and proposes a morphological method of devising an adaptive binarization threshold for pupil detection, and also contributes in modifying conventional integrodifferential operator based iris detection using canny detected edge map. The review of related works on matching leads to the observation that local features like Scale Invariant Feature Transform(SIFT) matches the keypoints on the basis of 128-D local descriptors, hence it sometimes falsely pairs two keypoints which are from different portions of two iris images. Subsequently the need for pruning of faulty SIFT pairs is felt. The second part of the thesis proposes two methods of filtering (Angular Filtering and Scale Filtering) the SIFT impairments (faulty pairs) based on the knowledge of spatial information of the keypoints. The pruning algorithms experimentally show higher accuracy and increased separability. 76 pp. Englisch. Seller Inventory # 9783846507698
Quantity: 2 available
Seller Image
Development of Robust Iris Localization and Impairment Pruning Schemes : Towards improved iris recognition systems
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Iris is the sphincter having flowery pattern around pupil in eye. The high randomness of the pattern makes iris unique for each individual, and hence a candidate for machine recognition of identity of an individual. The first part of the thesis investigates the bottlenecks of the existing localization approaches and proposes a morphological method of devising an adaptive binarization threshold for pupil detection, and also contributes in modifying conventional integrodifferential operator based iris detection using canny detected edge map. The review of related works on matching leads to the observation that local features like Scale Invariant Feature Transform(SIFT) matches the keypoints on the basis of 128-D local descriptors, hence it sometimes falsely pairs two keypoints which are from different portions of two iris images. Subsequently the need for pruning of faulty SIFT pairs is felt. The second part of the thesis proposes two methods of filtering (Angular Filtering and Scale Filtering) the SIFT impairments (faulty pairs) based on the knowledge of spatial information of the keypoints. The pruning algorithms experimentally show higher accuracy and increased separability. Seller Inventory # 9783846507698
Quantity: 1 available
Seller Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bakshi SambitSambit Bakshi is presently a Ph.D. scholar working on emerging trends of biometric systems. His research interests include Image Processing, Computer Vision and Pattern Recognition. The work presented in this book is awa. Seller Inventory # 5495426
Quantity: Over 20 available
Stock Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
Editorial Academica Espanola, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand pp. 76 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 95316127
Quantity: 4 available
Stock Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
Editorial Academica Espanola, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 76. Seller Inventory # 2698162496
Quantity: 4 available
Stock Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
Editorial Academica Espanola, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 76. Seller Inventory # 1898162506
Quantity: 4 available
Seller Image
Development of Robust Iris Localization and Impairment Pruning Schemes
Published by
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Iris is the sphincter having flowery pattern around pupil in eye. The high randomness of the pattern makes iris unique for each individual, and hence a candidate for machine recognition of identity of an individual. The first part of the thesis investigates the bottlenecks of the existing localization approaches and proposes a morphological method of devising an adaptive binarization threshold for pupil detection, and also contributes in modifying conventional integrodifferential operator based iris detection using canny detected edge map. The review of related works on matching leads to the observation that local features like Scale Invariant Feature Transform(SIFT) matches the keypoints on the basis of 128-D local descriptors, hence it sometimes falsely pairs two keypoints which are from different portions of two iris images. Subsequently the need for pruning of faulty SIFT pairs is felt. The second part of the thesis proposes two methods of filtering (Angular Filtering and Scale Filtering) the SIFT impairments (faulty pairs) based on the knowledge of spatial information of the keypoints. The pruning algorithms experimentally show higher accuracy and increased separability.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9783846507698
Quantity: 2 available
Stock Image
Development of Robust Iris Localization and Impairment Pruning Schemes: Towards improved iris recognition systems
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846507695
ISBN 13: 9783846507698
New
paperback
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
paperback. Condition: New. New. book. Seller Inventory # ERICA82938465076956
Quantity: 1 available