Connected Component feature Analysis based Handwritten Uyghur Text Lines Detection and Separation Algorithm
Kamil Moydin, Xiaofang Yi, Askar Hamdulla · International Journal of Signal Processing Image Processing and Pattern Recognition · 2015
This paper presents a Uyghur text-line separation algorithm based on classified connected components of Uyghur Handwritten scripts.In order to get the location of main text-lines, this paper proposes an adaptive painting and thinning algorithm.To insure the efficiency of text-lines segmentation, the post-processing of text-line detection procedures are introduced.The experimental results show that the algorithm is strongly robust for segmentation of textlines with having some skewness, touching and overlapping, and small strokes remained.