文章基本信息

标题：Text/Graphics Separation and Skew Correction of Text Regions of Business Card Images for Mobile Devices
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作者：Ayatullah Faruk Mollah ; Subhadip Basu ; Mita Nasipuri 等
期刊名称：Journal of Computing
电子版ISSN：2151-9617
出版年度：2010
卷号：2
期号：2
出版社：Journal of Computing
摘要：Separation of the text regions from background texture and graphics is an important step of any optical character recognition system for the images containing both texts and graphics. In this paper, we have presented a novel text/graphics separation technique and a method for skew correction of text regions extracted from business card images captured with a cell-phone camera. At first, the background is eliminated at a coarse level based on intensity variance. This makes the foreground components distinct from each other. Then the non-text components are removed using various characteristic features of text and graphics. Finally, the text regions are skew corrected for further processing. Experimenting with business card images of various resolutions, we have found an optimum performance of 98.25% (recall) with 0.75 MP images, that takes 0.17 seconds processing time and 1.1 MB peak memory on a moderately powerful computer (DualCore 1.73 GHz Processor, 1 GB RAM, 1 MB L2 Cache). The developed technique is computationally efficient and consumes low memory so as to be applicable on mobile devices