Document Image Processing (79 results)

Language: English
Published by New York, NY, U.S.A.: Telecom Library, Inc., 1993, 1993
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Paperback or Softback. Condition: New. Document Image Processing. Book.

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Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Condition: Très bon. Introduction to Document Image Processing Techniques | R.G. Matteson | Artech House, 1995, in-8 cartonnage éditeur, 259 pages. Couverture propre. Dos solide. Intérieur frais. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Bel état ! [BT38] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |.…

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Language: English
Published by Kaiserslautern : Fachbereich Informatik, Technische Universität Kaiserslautern, 2017
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Add to basketCondition: Sehr gut. 204 p. Seiten Book in very good condition. Sprache: Englisch Gewicht in Gramm: 440.

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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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Taschenbuch. Condition: Neu. Neuware - Document Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document image ranges from images of historical documents written on various surfaces, to synthetic images (useful for creating datasets) and videos including text. In order to succeed, many preprocessing tasks can be required: document skew detection and correction, slant removal, binarization and segmentation procedures, as well as other normalization tasks. These low-level tasks are generally followed by high-level tasks such as the recognition or spotting of textual elements (characters, words, or text lines). The intent of this Special Issue is to collect the experiences of leading scientists of the field, but also to be an assessment tool for people who are new to the world of document image processing.…

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Kartoniert / Broschiert. Condition: New. KlappentextrnrnDocument Image Processing allows systems like OCR, writer identification, writer recognition, check processing, historical document processing, etc., to extract useful information from document images. What we call a document imag.

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Taschenbuch. Condition: 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. …

Document Image Processing for Scanning and Printing
Safonov, Ilia V.; Kurilin, Ilya V.; Rychagov, Michael N.; Tolstaya, Ekaterina V.
Language: English
Published by Springer, 2019
Series: Book 158 of 180 - Signals and Communication Technology
- Hardcover
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Language: English
Published by Springer-Verlag Gmbh Apr 2019, 2019
Series: Book 158 of 180 - Signals and Communication Technology
- Hardcover
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Buch. Condition: Neu. Neuware -This book continues first one of the same authors 'Adaptive Image Processing Algorithms for Printing' and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors' practical experience in algorithm development for industrial R&D. 305 pp. Englisch.…