Manolis Kamvysselis - Character Recognition
نویسنده
چکیده
This paper presents our experience with an curvature space for online character recognition. The (x,y) coordinate data along the character curve is transformed to local curvature data. The peaks of this curvature represent the sharp turns made by the pen in constructing the character. The height and timestamp of these peaks are used as features. The number of peaks for a single character rarely exceeds five or six. Thus, we have transformed the 256 dimensional data of off-line recognition on a 16x16 grid, to less than 10 dimensional data.
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