Character Region Extraction Based on Texture and Depth Features

Abstract

In this paper, we propose a method of effectively segmenting character regions by using texture and depth features in 3D stereoscopic images. The suggested method is mainly composed of four steps. The candidate character region extraction step extracts candidate character regions by using texture features. The character region localization step obtains only the string regions in the candidate character regions. The character/background separation step separates characters from background in the localized character areas. The verification step verifies if the candidate regions are real characters or not. In experimental results, we show that the proposed method can extract character regions from input images more accurately compared to other existing methods.

Robust Detection of ROI of Signboards in a Noisy Environment

“…There are infinitely many lines passing through the point and all of the lines satisfy the slope-slicing linear formula for certain values of and . If we write this equation as and consider the ab-plane, we have one linear equation for a fixed pair [8,[12][13]20]. We can draw the parameter space straight lines for all image points (x, y) in the xyplane and identify the major straight lines in the xy-plane by identifying the intersection point of several straight lines in the parameter space.…”