Sinossi
Image processing plays a vital role in document image processing system. For large scale of digitization process, various methods are available to provide an electronic version of a paper document, and scanning of the paper document is one of the best suitable methods. Optical scanning is the new technique applied on an image document, which converts the raw output data to the optical character recognition (OCR) system. Since the computer system cannot understand the language of the written documents, we need to convert these documents into the electronic documents, so that they can easily processed by the computer system. OCR converts the written text documents into the e- documents. In this paper we determine the threshold value of a scanned image document by using global thresholding method, which is based on the otsu’s algorithm. On the basis of the threshold values obtain from the different methods, we can judge the quality of an image document and hence can improve the quality of an scanned image document.
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Feature Extraction Based Document Image Processing for OCR
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LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202062053
ISBN 13: 9786202062053
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image processing plays a vital role in document image processing system. For large scale of digitization process, various methods are available to provide an electronic version of a paper document, and scanning of the paper document is one of the best suitable methods. Optical scanning is the new technique applied on an image document, which converts the raw output data to the optical character recognition (OCR) system. Since the computer system cannot understand the language of the written documents, we need to convert these documents into the electronic documents, so that they can easily processed by the computer system. OCR converts the written text documents into the e- documents. In this paper we determine the threshold value of a scanned image document by using global thresholding method, which is based on the otsu's algorithm. On the basis of the threshold values obtain from the different methods, we can judge the quality of an image document and hence can improve the quality of an scanned image document. 68 pp. Englisch. Codice articolo 9786202062053
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Feature Extraction Based Document Image Processing for OCR
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ISBN 10: 6202062053
ISBN 13: 9786202062053
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Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Codice articolo zk6202062053
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Feature Extraction Based Document Image Processing for OCR
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202062053
ISBN 13: 9786202062053
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Parashar Anuj KumarDr Anuj Kumar Parashar receives his Bachelor of technology in Computer Science and Engineering from R.B.S. College, Agra and Masters of Engineering in Engineering System from Faculty of Engineering, DEI, Agra. and . Codice articolo 385923936
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Feature Extraction Based Document Image Processing for OCR
Editore:
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202062053
ISBN 13: 9786202062053
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image processing plays a vital role in document image processing system. For large scale of digitization process, various methods are available to provide an electronic version of a paper document, and scanning of the paper document is one of the best suitable methods. Optical scanning is the new technique applied on an image document, which converts the raw output data to the optical character recognition (OCR) system. Since the computer system cannot understand the language of the written documents, we need to convert these documents into the electronic documents, so that they can easily processed by the computer system. OCR converts the written text documents into the e- documents. In this paper we determine the threshold value of a scanned image document by using global thresholding method, which is based on the otsu's algorithm. On the basis of the threshold values obtain from the different methods, we can judge the quality of an image document and hence can improve the quality of an scanned image document.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9786202062053
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Feature Extraction Based Document Image Processing for OCR
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202062053
ISBN 13: 9786202062053
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image processing plays a vital role in document image processing system. For large scale of digitization process, various methods are available to provide an electronic version of a paper document, and scanning of the paper document is one of the best suitable methods. Optical scanning is the new technique applied on an image document, which converts the raw output data to the optical character recognition (OCR) system. Since the computer system cannot understand the language of the written documents, we need to convert these documents into the electronic documents, so that they can easily processed by the computer system. OCR converts the written text documents into the e- documents. In this paper we determine the threshold value of a scanned image document by using global thresholding method, which is based on the otsu's algorithm. On the basis of the threshold values obtain from the different methods, we can judge the quality of an image document and hence can improve the quality of an scanned image document. Codice articolo 9786202062053
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Feature Extraction Based Document Image Processing for OCR
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LAP LAMBERT Academic Publishing, 2017
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ISBN 13: 9786202062053
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Taschenbuch. Condizione: Neu. Feature Extraction Based Document Image Processing for OCR | Anuj Kumar Parashar (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202062053 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 110474624
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Feature Extraction Based Document Image Processing for OCR
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202062053
ISBN 13: 9786202062053
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82962020620536
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