Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365947746X ISBN 13: 9783659477461
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Devnagari Vowels Recognition By Recursive Subdivision Of Sampled Image | Offline Handwriting Recognition | Ravi Krishan Pandey | Taschenbuch | 84 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659477461 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 365947746X ISBN 13: 9783659477461
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Handwritten Optical Character Recognition (HOCR) is one of the research fields where the lots of the researchers are working very hard to solve the problems. A little effort is made here in respect to solve the problem in recognition of Handwritten Devnagari Characters, which is very challenging task because of the different writers have their own style to write and there is a lot of variation is occurred in their writing. In order to obtain higher recognition rate, a large database of all possible or maximum variations have been taken from a large group of writers. Because by including these variations we can make our recognition more general to test samples of writers from different background and recognition rate will be observed efficient and it will be acceptable in large domain of users. 84 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365947746X ISBN 13: 9783659477461
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pandey Ravi KrishanEr. Ravi Krishan Pandey is currently working as a Head Of Department of CSE and IT Department in Laxmi Institute of Technology, Laxmi Vidyapeeth Sarigam,Valsad, Gujarat(India). He has more than five year of exper.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2013, 2013
ISBN 10: 365947746X ISBN 13: 9783659477461
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Handwritten Optical Character Recognition (HOCR) is one of the research fields where the lots of the researchers are working very hard to solve the problems. A little effort is made here in respect to solve the problem in recognition of Handwritten Devnagari Characters, which is very challenging task because of the different writers have their own style to write and there is a lot of variation is occurred in their writing. In order to obtain higher recognition rate, a large database of all possible or maximum variations have been taken from a large group of writers. Because by including these variations we can make our recognition more general to test samples of writers from different background and recognition rate will be observed efficient and it will be acceptable in large domain of users.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365947746X ISBN 13: 9783659477461
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Handwritten Optical Character Recognition (HOCR) is one of the research fields where the lots of the researchers are working very hard to solve the problems. A little effort is made here in respect to solve the problem in recognition of Handwritten Devnagari Characters, which is very challenging task because of the different writers have their own style to write and there is a lot of variation is occurred in their writing. In order to obtain higher recognition rate, a large database of all possible or maximum variations have been taken from a large group of writers. Because by including these variations we can make our recognition more general to test samples of writers from different background and recognition rate will be observed efficient and it will be acceptable in large domain of users.