DocumentCode :
2023116
Title :
A Two Stage Recognition Scheme for Handwritten Tamil Characters
Author :
Bhattacharya, U. ; Ghosh, S.K. ; Parui, S.K.
Author_Institution :
Indian Stat. Inst., Kolkata
Volume :
1
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
511
Lastpage :
515
Abstract :
India is a multilingual multiscript country with more than 18 languages and 10 different major scripts. Not enough research work towards recognition of handwritten characters of these Indian scripts has been done. Tamil, an official as well as popular script of the southern part of India, Singapore, Malaysia, and Sri Lanka has a large character set which includes many compound characters. Only a few works towards handwriting recognition of this large character set has been reported in the literature. Recently, HP Labs India developed a database of handwritten Tamil characters. In the present paper, we describe an off-line recognition approach based on this database. The proposed method consists of two stages. In the first stage, we apply an unsupervised clustering method to create a smaller number of groups of handwritten Tamil character classes. In the second stage, we consider a supervised classification technique in each of these smaller groups for final recognition. The features considered in the two stages are different. The proposed two-stage recognition scheme provided acceptable classification accuracies on both the training and test sets of the present database.
Keywords :
handwriting recognition; handwritten character recognition; pattern classification; pattern clustering; character set; handwriting recognition; handwritten Tamil characters; multilingual multiscript country; supervised classification technique; unsupervised clustering method; Character recognition; Clustering methods; Computer vision; Handwriting recognition; Natural languages; Pattern recognition; Personal communication networks; Spatial databases; Speech recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4378762
Filename :
4378762
Link To Document :
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