DocumentCode :
2484265
Title :
Offline handwritten Devanagari word recognition: A segmentation based approach
Author :
Shaw, Bikash ; Parui, Swapan Kr ; Shridhar, Malayappan
Author_Institution :
Indian Stat. Inst., Kolkata
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
A novel segmentation based approach is proposed for recognition of offline handwritten Devanagari words. Stroke based features are used as feature vectors. A hidden Markov model is used for recognition at pseudocharacter level. The word level recognition is done on the basis of a string edit distance.
Keywords :
handwriting recognition; hidden Markov models; word processing; feature vectors; hidden Markov model; offline handwritten Devanagari word recognition; pseudocharacter level; segmentation based approach; string edit distance; Character recognition; Filters; Handwriting recognition; Head; Hidden Markov models; Image quality; Image recognition; Image segmentation; Pattern recognition; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761556
Filename :
4761556
Link To Document :
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