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Text detection and localization in natural scene images is important for content-based image analysis. This problem is challenging due to the complex background, the non-uniform illumination, the variations of text font, size and line orientation. In this paper, we present a hybrid approach to robustly detect and localize texts in natural scene images. A text region detector is designed to estimate the text existing confidence and scale information in image pyramid, which help segment candidatedoi:10.1109/tip.2010.2070803 pmid:20813645 fatcat:jom6t3r67bam7hp5ctx4hppbwu