This book constitutes the thoroughly refereeed post-workshop proceedings of the Third IAPR Workshop on Document Analysis Systems, DAS'98, held in Nagano, Japan in November 1998. The 29 revised full papers included in the book have gone through two rounds of reviewing and were selected from a total of 53 papers accepted for presentation at the workshop. The papers address all current aspects of document analysis systems; they are organized in topical sections on document image compression and retrieval, document structure analysis, handwriting recognition, document image analysis, and document analysis systems.
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First Sentence:
The process of generating Character Shape Codes (CSCs) encodes only the grossest features of character image size and placement, while ignoring the high spatial frequency features that Optical Character Recognition (OCR) relies upon [1][2]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
vertical text lines, amount recognizer, lexical search approach, hierarchical layout structure, legal amount recognition, shape coding process, subregion candidates, cumulative recognition rate, font style detection, possible cut area, text line location, lexicon tree, correct segmentation rate, courtesy amount recognition, wavelet reconstruction algorithm, order hold interpolation, form document image, average character height, garbage detection, endpoint features, separator elements, document analysis systems, projection blocks, coincident area, character classifier Key Phrases - Capitalized Phrases (CAPs): (learn more)
Pattern Recognition, International Conference, Add-On Code, Las Vegas, Computer Science, San Jose, Hidden Markov Models, New York, World Scientific, Analytical Word Recognizer, Graphite Light, Information Science Research Institute, Lecture Notes, Times New Roman, Document Management System, Script Recognizer, United States, University of Nevada, University of Washington, Holistic Word Recognizer, Japan Abstract, Object-Process Diagrams, Automatic Document Processing, Central Research Laboratory, Lockheed Martin Postal Systems New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
The process of generating Character Shape Codes (CSCs) encodes only the grossest features of character image size and placement, while ignoring the high spatial frequency features that Optical Character Recognition (OCR) relies upon [1][2]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
vertical text lines, amount recognizer, lexical search approach, hierarchical layout structure, legal amount recognition, shape coding process, subregion candidates, cumulative recognition rate, font style detection, possible cut area, text line location, lexicon tree, correct segmentation rate, courtesy amount recognition, wavelet reconstruction algorithm, order hold interpolation, form document image, average character height, garbage detection, endpoint features, separator elements, document analysis systems, projection blocks, coincident area, character classifier Key Phrases - Capitalized Phrases (CAPs): (learn more)
Pattern Recognition, International Conference, Add-On Code, Las Vegas, Computer Science, San Jose, Hidden Markov Models, New York, World Scientific, Analytical Word Recognizer, Graphite Light, Information Science Research Institute, Lecture Notes, Times New Roman, Document Management System, Script Recognizer, United States, University of Nevada, University of Washington, Holistic Word Recognizer, Japan Abstract, Object-Process Diagrams, Automatic Document Processing, Central Research Laboratory, Lockheed Martin Postal Systems New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 18
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- Automatic Bankcheck Processing (Series in Machine Perception and Artificial Intelligence) by S. Impedovo on page 171, page 199, and page 200
- Document Image Analysis (Machine Perception and Artificial Intelligence) by H. Bunke in Front Matter, page 57, and page 308
- Object-Process Methodology by Dov Dori on page 271, and page 281
- Structured Document Image Analysis by Henry S. Baird on page 57, and page 308
- Machine Vision by Ramesh Jain on page 239, and page 362
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