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Record Nr. |
UNINA9910416086003321 |
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Titolo |
Document Analysis Systems [[electronic resource] ] : 14th IAPR International Workshop, DAS 2020, Wuhan, China, July 26–29, 2020, Proceedings / / edited by Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 588 p. 375 illus., 214 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 12116 |
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Disciplina |
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Soggetti |
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Database management |
Pattern recognition |
Information storage and retrieval |
Artificial intelligence |
Data mining |
Application software |
Database Management |
Pattern Recognition |
Information Storage and Retrieval |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Computer Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Character and text recognition -- Document image processing -- Segmentation and layout analysis -- Word embedding and spotting -- Text detection -- Font design and classification. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020. The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The |
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papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification. Due to the Corona pandemic the conference was held as a virtual event . |
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