Title :
A run-length coding based approach to stroke extraction of Chinese characters
Author :
Fan, Kuo-Chin ; Wu, Wei-Hsien
Author_Institution :
Inst. of Comput. Sci. & Electron. Eng., Nat. Central Univ., Chung-Li, Taiwan
Abstract :
This paper proposes a novel run length based stroke extraction approach for Chinese characters without using the thinning method to avoid distortions around the function area generated by the method. In our approach, the run-length coding technique is first employed to obtain a special skeleton which only owns disjoint line segments with no fork points. Then, an attributed graph is constructed from the skeleton. Intersection relation among line segments is represented by a junction matrix and its associating graph. While stroke extraction is performed, the fork points can also be found. Experimental results show that the proposed approach is feasible and efficient in extracting strokes of Chinese characters
Keywords :
character recognition; feature extraction; graph theory; image coding; matrix algebra; Chinese characters; attributed graph; character recognition; disjoint line segments; feature extraction; fork points; junction matrix; run-length coding; skeletonisation; stroke extraction; Character generation; Character recognition; Computer science; Data mining; Image segmentation; Joining processes; Merging; Skeleton; Strips;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906137