Tangut Character Stroke Detection with Improved Hough Transform

Abstract

In the research of Tangut character recognition, it was attempted to detect the stroke of character with standard Hough transform (SHT), but hindered by the inability of SHT to detect the curve-line. In this paper, Hough transform with guidance of endpoints (HTGE) was proposed to achieve better performance on the aspect of curve and short line detection. HTGE is implemented based on the conception of hypothesis and verification, first, to assume there is line between each pair of endpoints, and then the existence of line is checked according to the corresponding area accumulated value in the parameter domain. With setting up of test object and evaluation criterion, the experiment was carried out to determine the key parameter for the best performance, and it can be concluded from the experiment result that considerable performance can be achieved with HTGE in the application of line detection.