19 September 2017 Text detection in natural scenes with phase congruency approach
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Abstract
In recent years, the importance of text detection in imagery has been increasing due to the great number of applications developed for mobile devices. Text detection becomes complicated when backgrounds are complex or capture conditions are not controlled. In this work, a method for text detection in natural scenes is proposed. The method is based on the Phase Congruency approach, obtained via Scale-Space Monogenic signal framework. The proposed method is robust to geometrical distortions, resolution, illumination, and noise degradation. Finally, experimental results are presented using a natural scene dataset.
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Julia Diaz-Escobar, Vitaly Kober, "Text detection in natural scenes with phase congruency approach", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039637 (19 September 2017); doi: 10.1117/12.2275138; https://doi.org/10.1117/12.2275138
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