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- W2006778831 abstract "Web images constitute an important part of web document and become a powerful medium of expression, especially forthe images containing text. The text embedded in web images often carry semantic information related to layout andcontent of the pages. Statistics show that there is a significant need to detect and recognize text from web images. In thispaper, we first give a short review of these methods proposed for text detection and recognition in web images; then aframework to extract from web images is presented, including stages of text localization and recognition. In textlocalization stage, localization method is applied to generate text candidates and a two-stage strategy is utilized to selecttext candidates, then text regions are localized using a coarse-to-fine text lines extraction algorithm. For text recognition,two text region binarization methods have been proposed to improve the performance of text recognition in web images.Experimental results for text localization and recognition prove the effectiveness of these methods. Additionally, arecognition evaluation for text regions in web images has been conducted for benchmark." @default.
- W2006778831 created "2016-06-24" @default.
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- W2006778831 date "2011-02-10" @default.
- W2006778831 modified "2023-09-23" @default.
- W2006778831 title "Text extraction from web images" @default.
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- W2006778831 doi "https://doi.org/10.1117/12.880027" @default.
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