A run-length coding based approach to stroke extraction of Chinese characters

被引:0
作者
Fan, KC [1 ]
Wu, WH [1 ]
机构
[1] Natl Cent Univ, Inst Comp Sci & Informat Engn, Chungli 32054, Taiwan
来源
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS | 2000年
关键词
stroke extraction; run length coding; skeletonization; attributed graph; junction matrix;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a novel run length based stroke extraction approach for Chinese characters without using thinning method to avoid distortions around junction area generated by thinning method. In our approach, run-length coding technique is first employed to get a special skeleton which only owns disjoint line segments without including 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, fork points can also be found. Experimental results show that the proposed approach is feasible and efficient in extracting strokes of Chinese characters.
引用
收藏
页码:565 / 568
页数:4
相关论文
共 6 条
[1]  
Hong-De Chang, 1994, International Journal of Pattern Recognition and Artificial Intelligence, V8, P1223, DOI 10.1142/S0218001494000619
[2]   STROKE SEGMENTATION BY BERNSTEIN-BEZIER CURVE FITTING [J].
LIAO, CW ;
HUANG, JS .
PATTERN RECOGNITION, 1990, 23 (05) :475-484
[3]   Stroke extraction for Chinese characters using a trend-followed transcribing technique [J].
Lin, JR ;
Chen, CF .
PATTERN RECOGNITION, 1996, 29 (11) :1789-1805
[4]   A CHINESE-CHARACTER THINNING ALGORITHM-BASED ON GLOBAL FEATURES AND CONTOUR INFORMATION [J].
LIN, JY ;
CHEN, Z .
PATTERN RECOGNITION, 1995, 28 (04) :493-512
[5]   RECOGNITION OF HANDWRITTEN CHINESE CHARACTERS BY MODIFIED RELAXATION METHODS [J].
WANG, AB ;
FAN, KC ;
HUANG, JS .
IMAGE AND VISION COMPUTING, 1994, 12 (08) :509-522
[6]  
Zhang Y. Y., 1994, International Journal of Pattern Recognition and Artificial Intelligence, V8, P999, DOI 10.1142/S0218001494000504