This book offers a complete and systematic discussion on automatic recognition of printed and handwritten mathematical expressions. Efficiency of any optical character recognition (OCR) engine in recognizing scientific paper documents heavily depends on its ability to recognize mathematical expressions. Therefore, issues related to optical recognition of mathematical expressions are discussed in details. Online recognition of handwritten expressions is also covered as this provides a convenient alternative to keyboard or mouse used for preparing scientific documents on computer. The state of the art of the related research has been reviewed and then the recognition challenges have been discussed. Data sets and experimental procedures are outlined. Issues behind evaluating performance of an expression recognition system are also explained. The book has been concluded with a discussion on several aspects including development of common data sets and tools in order to facilitate further research on expression recognition.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book offers a complete and systematic discussion on automatic recognition of printed and handwritten mathematical expressions. Efficiency of any optical character recognition (OCR) engine in recognizing scientific paper documents heavily depends on its ability to recognize mathematical expressions. Therefore, issues related to optical recognition of mathematical expressions are discussed in details. Online recognition of handwritten expressions is also covered as this provides a convenient alternative to keyboard or mouse used for preparing scientific documents on computer. The state of the art of the related research has been reviewed and then the recognition challenges have been discussed. Data sets and experimental procedures are outlined. Issues behind evaluating performance of an expression recognition system are also explained. The book has been concluded with a discussion on several aspects including development of common data sets and tools in order to facilitate further research on expression recognition.
Dr. Garain is an Assistant Professor of Indian Statistical Institute, Kolkata. His research includes doc. image analysis(DIA), natural lang. proc.(NLP), Computational Forensics, etc. In 2006, Dr. Garain received the prestigious Young Engineer Award from the Indian National Academy of Engineering (INAE) for his contribution in Language Engineering.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a complete and systematic discussion on automatic recognition of printed and handwritten mathematical expressions. Efficiency of any optical character recognition (OCR) engine in recognizing scientific paper documents heavily depends on its ability to recognize mathematical expressions. Therefore, issues related to optical recognition of mathematical expressions are discussed in details. Online recognition of handwritten expressions is also covered as this provides a convenient alternative to keyboard or mouse used for preparing scientific documents on computer. The state of the art of the related research has been reviewed and then the recognition challenges have been discussed. Data sets and experimental procedures are outlined. Issues behind evaluating performance of an expression recognition system are also explained. The book has been concluded with a discussion on several aspects including development of common data sets and tools in order to facilitate further research on expression recognition. 168 pp. Englisch. N° de réf. du vendeur 9783843363716
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Garain UtpalDr. Garain is an Assistant Professor of Indian Statistical Institute, Kolkata. His research includes doc. image analysis(DIA), natural lang. proc.(NLP), Computational Forensics, etc. In 2006, Dr. Garain received the prest. N° de réf. du vendeur 5466325
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Taschenbuch. Etat : Neu. Machine Recognition of Mathematical Expressions | Machine Recognition of Printed and Handwritten Mathematical Expressions | Utpal Garain | Taschenbuch | 168 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843363716 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107179903
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a complete and systematic discussion on automatic recognition of printed and handwritten mathematical expressions. Efficiency of any optical character recognition (OCR) engine in recognizing scientific paper documents heavily depends on its ability to recognize mathematical expressions. Therefore, issues related to optical recognition of mathematical expressions are discussed in details. Online recognition of handwritten expressions is also covered as this provides a convenient alternative to keyboard or mouse used for preparing scientific documents on computer. The state of the art of the related research has been reviewed and then the recognition challenges have been discussed. Data sets and experimental procedures are outlined. Issues behind evaluating performance of an expression recognition system are also explained. The book has been concluded with a discussion on several aspects including development of common data sets and tools in order to facilitate further research on expression recognition.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch. N° de réf. du vendeur 9783843363716
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a complete and systematic discussion on automatic recognition of printed and handwritten mathematical expressions. Efficiency of any optical character recognition (OCR) engine in recognizing scientific paper documents heavily depends on its ability to recognize mathematical expressions. Therefore, issues related to optical recognition of mathematical expressions are discussed in details. Online recognition of handwritten expressions is also covered as this provides a convenient alternative to keyboard or mouse used for preparing scientific documents on computer. The state of the art of the related research has been reviewed and then the recognition challenges have been discussed. Data sets and experimental procedures are outlined. Issues behind evaluating performance of an expression recognition system are also explained. The book has been concluded with a discussion on several aspects including development of common data sets and tools in order to facilitate further research on expression recognition. N° de réf. du vendeur 9783843363716
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