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Enhancement of Degraded Text Images & Performance Comparison: A Research work on quality Enhancement of Poor Degraded Images - Brossura

 
9786139999262: Enhancement of Degraded Text Images & Performance Comparison: A Research work on quality Enhancement of Poor Degraded Images

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Text recognition from distorted or degraded images especially handwritten is a challenge in computing . The present research work on “Enhancement Of Degraded Text Images & Performance Comparison", is an excellent effort to enhance the degraded text images caused by poor scanning, historical papers, and other causes. This study will propose a technique for the enhancement of such a degraded text document images to improve their display quality characteristics by using thresh hold values as well as a comparison of performance among them. Images believed to be representative of the same symbol which occurs in different positions over an image source are clustered together. Using the symbols within a particular cluster, an average character image outline for that cluster of symbols is derived and thereafter used to refine the matching of symbols within the cluster and to determine a final representative symbol for that cluster. Thus the partially visible or distorted text can be recognized. The work will definitely prove a helping hand to young researchers for developing new ideas and algorithms to resolve the practical problems of text image degradation and their recovery.

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Vijay Kumar Sinha
ISBN 10: 613999926X ISBN 13: 9786139999262
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Text recognition from distorted or degraded images especially handwritten is a challenge in computing . The present research work on 'Enhancement Of Degraded Text Images & Performance Comparison', is an excellent effort to enhance the degraded text images caused by poor scanning, historical papers, and other causes. This study will propose a technique for the enhancement of such a degraded text document images to improve their display quality characteristics by using thresh hold values as well as a comparison of performance among them. Images believed to be representative of the same symbol which occurs in different positions over an image source are clustered together. Using the symbols within a particular cluster, an average character image outline for that cluster of symbols is derived and thereafter used to refine the matching of symbols within the cluster and to determine a final representative symbol for that cluster. Thus the partially visible or distorted text can be recognized. The work will definitely prove a helping hand to young researchers for developing new ideas and algorithms to resolve the practical problems of text image degradation and their recovery. 68 pp. Englisch. Codice articolo 9786139999262

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Sinha, Vijay Kumar; Verma, Karun
ISBN 10: 613999926X ISBN 13: 9786139999262
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Sinha, Vijay Kumar; Verma, Karun
ISBN 10: 613999926X ISBN 13: 9786139999262
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Sinha, Vijay Kumar; Verma, Karun
ISBN 10: 613999926X ISBN 13: 9786139999262
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Da: Biblios, Frankfurt am main, HESSE, Germania

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Sinha, Vijay Kumar/ Verma, Karun
ISBN 10: 613999926X ISBN 13: 9786139999262
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Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Codice articolo zk613999926X

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Vijay Kumar Sinha|Karun Verma
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sinha Vijay KumarProf. Vijay Kumar Sinha received his Ph.D. from IKGPTU, Kapurthala in Computer Science & Engineering. He received M.Tech. degree from Lovely Professional University in CSE, M.Tech.(IT) from Punjabi University, Patia. Codice articolo 274028422

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Vijay Kumar Sinha
ISBN 10: 613999926X ISBN 13: 9786139999262
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

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Taschenbuch. Condizione: Neu. Neuware -Text recognition from distorted or degraded images especially handwritten is a challenge in computing . The present research work on ¿Enhancement Of Degraded Text Images & Performance Comparison', is an excellent effort to enhance the degraded text images caused by poor scanning, historical papers, and other causes. This study will propose a technique for the enhancement of such a degraded text document images to improve their display quality characteristics by using thresh hold values as well as a comparison of performance among them. Images believed to be representative of the same symbol which occurs in different positions over an image source are clustered together. Using the symbols within a particular cluster, an average character image outline for that cluster of symbols is derived and thereafter used to refine the matching of symbols within the cluster and to determine a final representative symbol for that cluster. Thus the partially visible or distorted text can be recognized. The work will definitely prove a helping hand to young researchers for developing new ideas and algorithms to resolve the practical problems of text image degradation and their recovery.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Codice articolo 9786139999262

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Vijay Kumar Sinha
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Da: AHA-BUCH GmbH, Einbeck, Germania

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Text recognition from distorted or degraded images especially handwritten is a challenge in computing . The present research work on 'Enhancement Of Degraded Text Images & Performance Comparison', is an excellent effort to enhance the degraded text images caused by poor scanning, historical papers, and other causes. This study will propose a technique for the enhancement of such a degraded text document images to improve their display quality characteristics by using thresh hold values as well as a comparison of performance among them. Images believed to be representative of the same symbol which occurs in different positions over an image source are clustered together. Using the symbols within a particular cluster, an average character image outline for that cluster of symbols is derived and thereafter used to refine the matching of symbols within the cluster and to determine a final representative symbol for that cluster. Thus the partially visible or distorted text can be recognized. The work will definitely prove a helping hand to young researchers for developing new ideas and algorithms to resolve the practical problems of text image degradation and their recovery. Codice articolo 9786139999262

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