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Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm
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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.
Title: Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm
Description:
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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