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

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... 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.