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BL
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| Record Number
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890168
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| Main Entry
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Santosh, K. C.
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| Title & Author
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Document image analysis : : current trends and challenges in graphics recognition /\ K.C. Santosh.
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| Publication Statement
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Singapore :: Springer,, 2018.
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| Page. NO
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1 online resource
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| ISBN
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9789811323393
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: 9789811323409
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: 9811323399
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: 9811323402
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9789811323386
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9811323380
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Intro; Foreword; Preface; References; Acknowledgements; Contents; About the Author; Acronyms; 1 Document Image Analysis; 1.1 Document Image Analysis (DIA); 1.1.1 What is Document Imaging?; 1.1.2 Basics to DIA and Challenges; 1.2 Graphics Processing; 1.3 Summary; References; 2 Graphics Recognition; 2.1 Graphical Symbols; 2.2 Basics to Graphics Recognition; 2.3 Contests and Real-World Challenges in Graphics Recognition; 2.4 Graphical Symbol Recognition, Retrieval, and Spotting; 2.5 Research Stand Points: A Quick Overview; 2.6 Summary; References; 3 Graphics Recognition and Validation Protocol.
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3.1 Basic Steps: Symbol Recognition Systems3.1.1 Data Acquisition and Preprocessing; 3.1.2 Data Representation and Recognition; 3.2 Validation; 3.2.1 Datasets, Evaluation Protocol, and Their Relation; 3.2.2 Evaluation Metric; 3.2.3 Recognition; 3.2.4 Retrieval; 3.3 Summary; References; 4 Statistical Approaches; 4.1 Statistical Pattern Recognition: A Quick Review; 4.1.1 Contour-Based Shape Analysis; 4.1.2 Region-Based Shape Analysis; 4.2 Graphics Recognition; 4.3 Experiments; 4.3.1 DTW-Radon: How Does It Work?; 4.3.2 Results and Comparison; 4.4 Summary; References; 5 Structural Approaches.
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5.1 Context5.2 Visual Primitives; 5.3 Spatial Relations; 5.3.1 Types of Spatial Relations; 5.3.2 Can We Quantify Spatial Relations?; 5.4 Structural Approaches for Graphics Recognition; 5.5 Spatial Relations on Graphics Recognition; 5.6 Can We Take Complex and Composite Graphical Symbols into Account?; 5.6.1 Symbol Recognition Using Spatial Relations; 5.6.2 Extension: Symbol Spotting; 5.7 Summary; References; 6 Hybrid Approaches; 6.1 Context; 6.2 Hybrid Approaches for Graphics Recognition; 6.3 Integrating Shape with Spatial Relations for Graphics Recognition.
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6.4 Hybrid Approach on Symbol Description6.4.1 Graph via Visual Primitives; 6.4.2 Shape-Based Thick Pattern Description in Arg via Clustering; 6.4.3 Cluster Verification and Validation; 6.5 Experiments; 6.5.1 Graphical Symbol Recognition; 6.5.2 Results; 6.6 Conclusions; References; 7 Syntactic Approaches; 7.1 Syntactic Approaches-Based Graphical Symbol Recognition; 7.2 Inductive Logic Programming (ILP); 7.2.1 Basics to ILP; 7.2.2 How Does ILP Work?; 7.2.3 ILP for Character/Text Recognition; 7.3 ILP for Graphical Symbol Recognition; 7.3.1 Overview; 7.3.2 Graphical Symbol Representation.
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7.3.3 Graphical Symbol Recognition7.4 Summary; References; 8 Conclusion and Challenges; 8.1 Summary State-of-the-Art Works and Extensions; References; Index.
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| Abstract
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The book focuses on one of the key issues in document image processing - graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
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| Subject
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Image analysis.
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Pattern recognition systems.
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| Subject
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COMPUTERS-- General.
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Graphics programming.
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Image analysis.
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Image processing.
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Pattern recognition systems.
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| Subject
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Pattern recognition.
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| Dewey Classification
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006.4
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| LC Classification
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TK7882.P3
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