Stroke Filter for Text Localization in Video Images
Qifeng Liu, Cheolkon Jung, Sang-Kyun Kim, Young-Soo Moon, Ji-Yeun Kim · 2006
In this paper, we propose stroke filter for text localization in video images. First, we give the definition of text, which is based on the analysis of previous methods and intrinsic characteristics of text. Secondly, the definition is realized in the form of stroke filter, which is elaborately designed based on local region analysis. We also discuss the relationship between the proposed stroke filter and the other related filters. Furthermore, stroke filter can be implemented in a fast way without convolution operation. The effectiveness and efficiency of stroke filter is validated by extensive experiments on a challenging database.