Segmentation of Online Bangla Handwritten Word

Rajib Ghosh, Debnath Bhattacharyya, Samir Kumar Bandyopadhyay
2009 2009 IEEE International Advance Computing Conference  
The online handwritten document collected from different people for recognition purpose suffers from some degree of skew or tilt. Skew angle detection is an important component of any Character/Words Recognition and Document Analysis System. If the skew correction is done successfully then the character segmentation of the word will be more perfect and as a consequence the percentage of the correct word recognition will be higher. In this paper, we propose a new method for skew detection and
more » ... w correction of online Bengali handwritten word through holistic approach. This approach works based on center of gravity of left part and right part of a handwritten word. After finding the center of gravity, calculates the angle θ of the line which connected the two gravity centers in relation to horizontal line. Then Rotates the word clockwise by the angle θ if θ<90º, or anti-clockwise by the angle (180º-θ) if θ>90º. All the pixel moves to the particular angle to correct the skew. We tested my system on 3000 Bengali word data and obtained around 92.22% accuracy on word data from the proposed system.
doi:10.1109/iadcc.2009.4809090 fatcat:hdjvw6sjwzdbhiagafgsjbcg7i