Text detection is fundamental to video information retrieval and inderjng. histing methods cannot hande well those texts with different contrast or embedded in a complex background. To handle these dimculties, this paper propares an eficient text detection approach. which is based on invariant features, such as edge strengfh. edge density, and horizontal a?stn'bution. First, it applies edge detection and uses a low threshold to filter out defnitely non-text edges. 7hen. a local threshold is selected to both keep low-contrast text and simplip complex background of high-contrast text. Nwt. two ten-area enhancement operators are proposed to highlight those areas with either high edge strength or high edge densiy. Finally. coarse-lo-fine detection locales text regions &dent&. Experimental results show that this approach is robust for contrast. font-size, font-color, language, and hckgrouod complerity.
Cai et al. REF have presented a text detection approach which uses character features like edge strength, edge density and horizontal alignment.
A new approach for video text detection
Proceedings. International Conference on Image Processing
Proceedings. International Conference on Image Processing
Computer Science