English to Indian Language and Back Transliteration with Phonetic Transcription for Computational Linguistics Tools based on Conventional Transliteration Schemes

Author(s):  
Jayashree Nair ◽  
Riyaz Ahammed
2006 ◽  
Author(s):  
Wendy E. Chan ◽  
David M. Arney ◽  
Josh Morgan ◽  
Lauren Stevenson ◽  
Kevin Reimer ◽  
...  

2012 ◽  
Vol 3 (2) ◽  
pp. 343-346
Author(s):  
Adabala Venkata Srinivasa Rao ◽  
D R Sandeep ◽  
V B Sandeep ◽  
S Dhanam Jaya

Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Telugu script faces major problems mainly related to the touching and overlapping of characters. Segmentation of touching Telugu characters is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is for the segmentation of  touching Hand written Telugu characters. The proposed method using Drop-fall algorithm is based on the moving of a marble on either side of the touching characters for selection of the point from where the cutting of the fused components should take place. This method improvers the segmentation accuracy higher than the existing one.


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