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《Journal of Inner Mongolia University(Acta Scientiarum Naturalium Universitatis NeiMongol)》 2007-04
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A Skew Detection Method of Mongolian Document Images

WEI Hong-xi,GAO Guang-lai(College of Computer Science,Inner Mongolia University,Hohhot 010021,China)  
In document scanning,the skew of input document images is inevitable.So the skew detection is an important step during preprocess of document analysis.A skew detection method based on least square method for Mongolian document images is proposed.In a skew Mongolian document image,every character connected component′s centroid is extracted and taken as an eigen point.Then,the least square method is applied to these eigen points for fitting straight line.Thereby,a line equation can be achieved.The line equation′s slope can properly reflect the skew angle of the document image.Furthermore,the approach also can be adapted to complex document images by connected component analysis.Experiments prove that this approach is fast with a higher accuracy.
【Fund】: 国家自然科学基金资助项目(批准号69965001)
【CateGory Index】: TP391.41
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