Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections

von Marçal Rusiñol
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Marçal Rusiñol Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections
Marçal Rusiñol - Symbol Spotting in Digital Libraries - Focused Retrieval over Graphic-rich Document Collections

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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.


Marçal Rusiñol
Josep Lladós

Weitere Informationen

Anmerkung Illustrationen:

The first book to address the particular problem of symbol spotting in graphics/document image analysis and recognition.

Supplies an insight into performance evaluation of spotting methods.

With a Foreword by Professor Karl Tombre, Director of INRIA Nancy - Grand Est Research Centre.

Includes supplementary material:

Springer London
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 need or want to refer to the primary literature. In short, this book is a concise, readable, and informative resource on its specialized problem domain and related areas." (R. M. Malyankar, ACM Computing Reviews, October, 2010)
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.


0.235 x 0.155 x 0.011 m; 0.454 kg
CHF 107.10
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