Fast Text Registration and Enhancement in Digital Video

Hui Ding, Ding Xiaoqing, Shengjin Wang · 2008

This paper addresses a fast and reliable video text registration and enhancement algorithm suitable to tracking text and optical character recognition (OCR). The fast registration algorithm based on the normalized cross-correlation and pyramid structure in a coarse-to-fine scheme. After extracting reference text block, we use the text registration method to find the corresponding text blocks in next consecutive frames. By using intensity-hue-saturation (IHS) fusion method to enhance text block. This proposed algorithm working with rectangular sub-images, which obtained by down-sampling the frames at different levels of the pyramid, the speed of the algorithm can be increased. We have tested our match algorithm in a large set of experiments with video clips recorded from television and achieved good matching results.

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