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

Sinha, Vijay Kumar; Verma, Karun

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

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ISBN 10 : 613999926X ISBN 13 : 9786139999262

Editeur : LAP LAMBERT Academic Publishing, 2019

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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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�diteurLAP LAMBERT Academic Publishing
Date d'�dition2019
ISBN 10 613999926X
ISBN 13 9786139999262
ReliureBroch�
Langueanglais
Nombre de pages68
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Enhancement of Degraded Text Images & Performance Comparison

Vijay Kumar Sinha|Karun Verma

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 613999926X ISBN 13 : 9786139999262

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Etat : 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. N� de r�f. du vendeur 274028422

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Enhancement of Degraded Text Images & Performance Comparison

Vijay Kumar Sinha

Edit� par LAP LAMBERT Academic Publishing Jan 2019, 2019

ISBN 10 : 613999926X ISBN 13 : 9786139999262

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786139999262

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

Vijay Kumar Sinha

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 613999926X ISBN 13 : 9786139999262

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786139999262

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Enhancement of Degraded Text Images & Performance Comparison

Vijay Kumar Sinha

Edit� par LAP LAMBERT Academic Publishing Jan 2019, 2019

ISBN 10 : 613999926X ISBN 13 : 9786139999262

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : 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, �berseering 33, 22297 Hamburg 68 pp. Englisch. N� de r�f. du vendeur 9786139999262

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