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Books > Computing & IT > Applications of computing > Image processing

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Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections (Paperback, 2010 ed.) Loot Price: R2,957
Discovery Miles 29 570
Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections (Paperback, 2010 ed.): Marcal...

Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections (Paperback, 2010 ed.)

Marcal Rusinol, Josep Llados

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Loot Price R2,957 Discovery Miles 29 570 | Repayment Terms: R277 pm x 12*

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Pattern recognition basically deals with the recognition of patterns, shapes, objects, things in images. Document image analysis was one of the very ?rst applications of pattern recognition and even of computing. But until the 1980s, research in this ?eld was mainly dealing with text-based documents, including OCR (Optical Character Recognition) and page layout analysis. Only a few people were looking at more speci?c documents such as music sheet, bank cheques or forms. The community of graphics recognition became visible in the late 1980s. Their speci?c interest was to recognize high-level objects represented by line drawings and graphics. The speci?c pattern recognition problems they had to deal with was raster-to-graphics conversion (i.e., recognizing graphical primitives in a cluttered pixel image), text-graphics separation, and symbol recognition. The speci?c problem of symbol recognition in graphical documents has received a lot of attention. The symbols to be recognized can be musical notation, electrical symbols, architectural objects, pictograms in maps, etc. At ?rst glance, the symbol recognition problems seems to be very similar to that of character recognition; - ter all, characters are basically a subset of symbols. Therefore, the large know-how in OCR has been extensively used in graphical symbol recognition: starting with segmenting the document to extract the symbols, extracting features from the s- bols, and then recognizing them through classi?cation or matching, with respect to a training/learning set.

General

Imprint: Springer London
Country of origin: United Kingdom
Release date: December 2014
First published: 2010
Authors: Marcal Rusinol • Josep Llados
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 180
Edition: 2010 ed.
ISBN-13: 978-1-4471-6179-0
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 1-4471-6179-3
Barcode: 9781447161790

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