Abstract:

Writing along the baseline and with a large number of additions is one major characteristic of Uyghur, therefore the line and word segmentation and recognition of Uyghur in a complex color image becomes a difficult but interesting problem.In the paper,firstly,the complex color image is changed to be a grayscale image.Secondly,the color image is changed to be a grayscale edge image and further a binary image of partial area.Then after regional detection and edgeadjusting,the line position of the Uyghur is located.According to the line position,the text line is obtained from the image.Finally,based on the segmentation result,the accumulation of pixels along the horizontal and vertical line is analyzed to find the best cutoff points and separate out the individual letter or the letter section contains several letters in a text line.Experimental results show that the line segmentation accuracy can reach 96% and the word segmentation accuracy can reach 98%.

Key words: complex color images;region detection;text line segmentation;word segmentation