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