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Text Enhancement with Asymmetric Filter for Video OCR
Palermo, Italy September 26-September 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2001.95700711th International Conference on Imag ...
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Datong Chen, Dalle Molle Institute for Perceptual Artificial Intelligence
Kim Shearer, Dalle Molle Institute for Perceptual Artificial Intelligence
Hervé Bourlard, Dalle Molle Institute for Perceptual Artificial Intelligence
Abstract: Stripes are common sub-structures of text characters, and the scale of these stripes varies little within a word. This scale consistency thus provides us with a useful feature for text detection and segmentation. In this paper a new form of filter is derived from the Gabor filter, and it is shown this filter can efficiently estimate the scales of these stripes. The contrast of text in video can then be increased by enhancing the edges of only those stripes found to correspond to a suitable scale. More specifically the algorithm presented here enhances the stripes in three pre-selected scale ranges. The resulting enhancement yields much better performance from the binarization process, which is the step required before character recognition.
Citation:
Datong Chen, Kim Shearer, Hervé Bourlard, "Text Enhancement with Asymmetric Filter for Video OCR," iciap, pp.0192, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001
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