A Novel Stroke Extraction Model for Chinese Characters based on Steerable Filters

2006 ◽  
Author(s):  
Rui Chen ◽  
Yan Tang ◽  
Yu-Hui Qiu
Keyword(s):  
Chinese Characters ◽  
Stroke Extraction ◽  
Steerable Filters ◽  
Extraction Model

AN APPROACH TO NATURAL STROKE EXTRACTION FOR OFF-LINE LOOSELY-CONSTRAINED HANDWRITTEN CHINESE CHARACTERS

2003 ◽  
Vol 17 (08) ◽  
pp. 1483-1513
Author(s):  
DANIEL S. YEUNG ◽  
H. S. FONG ◽  
ERIC C. C. TSANG ◽  
WENHAO SHU ◽  
XIAOLONG WANG
Keyword(s):  
Performance Tuning ◽  
Model Parameters ◽  
Chinese Characters ◽  
Personal Writing ◽  
New Approach ◽  
Stroke Extraction ◽  
Fuzzy Partitioning ◽  
Stroke Models ◽  
Matching Strategy ◽  
Ranked List

This paper proposes a new approach to extracting natural strokes from the skeletons of loosely-constrained, off-line handwritten Chinese characters. It admits the output substrokes from a previously proposed fuzzy substroke extractor as its inputs. By identifying a number of expected ambiguities which include mutual similarities, unstable touches and joint/cross distortions, fuzzy stroke models are constructed and a "hit-all" fuzzy stroke matching strategy is pursued. Fuzzy partitioning technique is used to generate a ranked list of consistent stroke sets from the set of fuzzy strokes being identified. With this approach, a maximum of 20 distinct natural stroke classes can be extracted from each input character, together with an estimate on the actual count of strokes which compose the character. Our system offers a number of performance tuning capabilities such as the computation of the fuzzy scores of each extracted stroke, the adjustment on the fuzzy stroke model parameters, and the potential of incorporating one's personal writing styles into our methodology.

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