Title :
Arbitrarily oriented text detection using geodesic distances between corners and skeletons
Author :
Yong Zhang ; Jianhuang Lai
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
Abstract :
This paper proposes a corner and skeleton based method for arbitrarily oriented text detection. By calculating the minimum moment of inertia of each candidate text region, we firstly obtain the orientation and minimum bounding box of each connected component. Secondly, based on the fact that corners are frequent and essential patterns in text regions, we propose a geodesic distance between corner and the skeleton of text regions to measure the effective distance between corner and text. Finally, a geodesic distances weighted corner saturation parameter is given to determine which candidate regions are the true text regions. Experimental results in ICDAR 2003 database show that the proposed method can handle the natural scene text of both horizontal and nonhorizontal orientation.
Keywords :
differential geometry; edge detection; natural scenes; text detection; visual databases; ICDAR 2003 database; arbitrarily oriented text detection; candidate text region; corner-based method; geodesic distances weighted corner saturation parameter; horizontal orientation; minimum bounding box; moment of inertia; natural scene text; nonhorizontal orientation; skeleton-based method; text region patterns; Databases; Detectors; Image edge detection; Laplace equations; Level measurement; Robustness; Skeleton;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4