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Text detection in natural scenes with phase congruency approach
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Paper 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.

Paper Details

Date Published: 19 September 2017
PDF: 9 pages
Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039637 (19 September 2017); doi: 10.1117/12.2275138
Show Author Affiliations
Julia Diaz-Escobar, CICESE (Mexico)
Vitaly Kober, CICESE (Mexico)
Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10396:
Applications of Digital Image Processing XL
Andrew G. Tescher, Editor(s)

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