A Novel Stroke Extraction Model for Chinese Characters Based on Steerable Filters
The technology of stroke extraction plays a key role in the off-line Chinese character recognition field The accuracy and computing complexity of classifying depend on the output of stroke extraction. Based on the analysis of the existing methods, this paper proposed a novel stroke extraction model with steerable filters. The experiments indicate that this model can be used to extract strokes from both printed and handwritten Chinese characters. Meanwhile, it also can be applied to eliminate the redundant stroke connections impressively with considerable low computing complexity.
Character recognition Stroke extraction Steerable filter
Rui Chen Yan Tang Yu-Hui Qiu
Computer Science Department, Southwest China University, Chongqing, 400715, P.R.China
国际会议
Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)
北京
英文
547-551
2006-07-17（万方平台首次上网日期，不代表论文的发表时间）