文章基本信息

标题：Text Recognition in Mobile Images using Perspective Correction and Text Segmentation
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作者：Weisheng Wu ; Jian Liu ; Lei Li 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：10
页码：171-178
出版社：SERSC
摘要：It is significant thatadopt text recognition at mobile devices to care human’s health. We observed that although OCR is very suit for recognizing scanned documents, it has poor performation on mobile photoes, which suffer from unequal lighting, clutter, skew, or poor image quality. Therefore, a new algorithm is proposed that takea series of measures to dealwith these tough situations ofmobile images. This work includes three main steps. Firstly weadoptperspective correction to rectify the distortion of an image. Secondly we usefilter to further eliminate the effect of noisy in image. Finally weapplytext segmentation to effective measure each text row of image. Compared to OCR text recogniztionsuccessrate34.7%, the success rate of our method is 65.8%.Experimental results show that the proposed algorithm greatly improvesthe accuracy of textrecognition
关键词：text recognition; OCR; ;perspective ;c;orrect;ion;t;e;xt segmentation