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ICIAP
2001
Springer

Text Enhancement with Asymmetric Filter for Video OCR

15 years 17 days ago
Text Enhancement with Asymmetric Filter for Video OCR
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.
Datong Chen, Hervé Bourlard, Kim Shearer
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2001
Where ICIAP
Authors Datong Chen, Hervé Bourlard, Kim Shearer
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