| Summary: | 碩士 === 國立交通大學 === 資訊學院碩士在職專班資訊組 === 98 === As TabletPCs and Handheld devices are widely sepreaded, handwriting characters recognition systems are requested,and the request is more important in areas using Chinese Characters.More and more stablized applications of Handwriting recognition technology makes the requirement.A more free handwriting input environment is prompted.This research focuses on rotation angle detection during the preprocess of handwriting characters. Users need not turn the input device to themselves before starting input.Based on the basic characteristics of input strokes,segments of Chinese characters, horizontal strokes from left to right and vertical strokes from top to bottom,this research can detect the rotation angle if such invariant relations are found.First of all is to compute the direction and length of each stroke segment of the input writing.Secondly, two different methods and their combination, structure analysis with heuristic rules and K-mean clustering, are used to detect the rotation angle. Two associated sets of experiments are performed.One is verifing skew/rotation limitation of the handwriting recognition engine to make sure the research is working. And the other is appling Principal Component Analysis on input writing to detect the rotation angle as contrast.Finally, comparing these two results and pick the better one to construct a Handwriting Chinese Characters Rotation Detection System.
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