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Author: Marçal Rusiñol Publisher: Springer Science & Business Media ISBN: 1849962081 Category : Computers Languages : en Pages : 183
Book Description
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.
Author: Marçal Rusiñol Publisher: Springer Science & Business Media ISBN: 1849962081 Category : Computers Languages : en Pages : 183
Book Description
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.
Author: Wenyin Liu Publisher: Springer Science & Business Media ISBN: 3540347119 Category : Computers Languages : en Pages : 439
Book Description
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Graphics Recognition, GREC 2005, held in Hong Kong, China, August 2005. The book presents 37 revised full papers together with a panel discussion report, organized in topical sections on engineering drawings vectorization and recognition, symbol recognition, graphic image analysis, structural document analysis, sketching and online graphics recognition, curves and shape processing, and graphics recognition contest results.
Author: Richard A. Carlson Publisher: Psychology Press ISBN: 1135693099 Category : Psychology Languages : en Pages : 366
Book Description
This volume presents a theoretical framework for understanding consciousness and learning. Drawing on work in cognitive psychology and philosophy, this framework begins with the observation that to be conscious is literally to have a point of view. From this starting point, the book develops a descriptive scheme that allows perceptual, symbolic, and emotional awareness to be discussed in common theoretical terms, compatible with a computational view of the mind. A central theme is our experience of ourselves as agents, consciously controlling activities situated in environments. In contrast to previous theories of consciousness, the experienced cognition framework emphasizes the changes in conscious control as individuals acquire skills. The book is divided into four parts. The first introduces the central themes and places them in the context of information-processing theory and empirical research on cognitive skill. The second develops the theoretical framework, emphasizing the unity of perceptual, symbolic, and emotional awareness and the relation of conscious to nonconscious processes. The third applies the experienced cognition framework to a variety of topics in cognitive psychology, including working memory, problem solving, and reasoning. It also includes discussions of everyday action, skill, and expertise, focusing on changes in conscious control with increasing fluency. The last concludes the book by evaluating the recent debate on the "cognitive unconscious" and implicit cognition from the perspective of experienced cognition, and considering the prospects for a cognitive psychology focused on persons. This book addresses many of the issues raised in philosophical treatments of consciousness from the point of view of empirical cognitive psychology. For example, the structure of conscious mental states is addressed by considering how to describe them in terms of variables suitable for information-processing theory. Understanding conscious states in this way also provides a basis for developing empirical hypotheses, for example, about the relation of emotion and cognition, about the apparent "mindlessness" of skilled activity, and about the nature and role of goals in guiding activity. Criticisms of the computational view of mind are addressed by showing that the role of first-person perspectives in cognition can be described and investigated in theoretical terms compatible with a broadly-conceived information-processing theory of cognition.
Author: Marçal Rusiñol
Author: Marçal Rusiñol
Author: John Skorupski
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Author: Wenyin Liu
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Author: Albert Loyal Crane
Author: Robert Sessions Woodworth
Author: Beverly G. Knapp
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Author: Richard A. Carlson