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Rusinol, Marcal; Llados, Josep - Symbol Spotting in Digital Libraries - 9781849962070 - V9781849962070
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Symbol Spotting in Digital Libraries

€ 126.18
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Description for Symbol Spotting in Digital Libraries Hardback. Here is a complete, integrated, large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book presents a methodology which can be used in a wide variety of applications. Num Pages: 180 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 454.
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 ... Read more

Product Details

Format
Hardback
Publication date
2010
Publisher
Springer London Ltd United Kingdom
Number of pages
180
Condition
New
Number of Pages
180
Place of Publication
England, United Kingdom
ISBN
9781849962070
SKU
V9781849962070
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Symbol Spotting in Digital Libraries
From the reviews: “This monograph is a clearly written and accessible survey and framework for the field, and it should prove useful to researchers and students in computer vision, pattern recognition, and related fields. It would also be instructive for advanced practitioners in these areas … . References are provided at the end of each chapter for researchers who ... Read more

Goodreads reviews for Symbol Spotting in Digital Libraries


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