Character Segmentation for Historical Uchen Tibetan Document Based on Structure Attributes

Character segmentation is an important part in image analysis and recognition of historical Tibetan document. Aiming at the problems of text line slanting, stroke overlapping, crossing, touching between characters, stroke breaking and noise interference of historical Uchen Tibetan document, a character segmentation method for historical Uchen Tibetan document based on structure attributes is proposed in this paper. First, a character block datasct of historical Uchen Tibetan document is established. Then, the local baseline of character block is detected by using syllable point position information or combining horizontal projection and linear detection, and the character block is divided horizontally into two parts above and below the baseline. The improved template matching algorithm is used to detect touching strokes and touching type above the baseline. The multi-direction and multipath touching character segmentation algorithm is used to realize crossing and touching strokes segmentation. Finally, according to Tibetan structure attribute, to complete the attribution of each stroke. Experimental results show that the proposed method can effectively solve the challenge problem in character segmentation. The recall rate, precision rate and F-Measure of character segmentation reached 96.52% , 98.24 % and 97.37% , respectively.