Stroke Extraction of Handwritten Chinese Character Based on Ambiguous Zone Information

Zhou, Zhengyang; Zhan, Enqi; Zheng, Jianbin

doi:10.1109/icmip.2017.45

Cited by 3 publications

(6 citation statements)

References 8 publications

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“…The ambiguous zone detection step is used to detect deformed zones in the original skeleton. Traditional methods for detecting ambiguous zones can be divided into several categories: the maximum tangent circle method [19], the threshold method [20][21][22][23][24][25], the contour tracking method [26][27][28], the exhaustive method [29], and the window scanning method [30,31]. The maximum internal tangent circle method is limited in its ability to detect ambiguous zones with severe junction point splitting.…”

Section: Related Workmentioning

confidence: 99%

“…Suppose that the stroke segment S i , S j are connected to the ambiguous zone Z, and 𝜈 i , 𝜈 j denote the corresponding local direction vectors. Then the local direction correlation 𝛼 i, j between S i and S j is equal to the absolute value of the cosine similarity between 𝜈 i and 𝜈 j [31]:…”

Section: Continuity Analysismentioning

confidence: 99%

“…And the blue part is the normal skeleton which should be retained. The window scanning method [31] involves first identifying a complex point (pixel point satisfying

{N}_b( P ) \ge 3

) and scanning from that point using a 3*3 window. If there is a complex point within the window then that complex point is added to the ambiguous zone until no complex point exists at the skeleton pixel point within the window.…”

Section: Ambiguous Zone Detectionmentioning

confidence: 99%

See 2 more Smart Citations

Skeleton extraction of hard‐pen regular script based on stroke characterization and ambiguous zone detection

Xu,

Qin,

Xiong

et al. 2024

IET Image Processing

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The Intelligent Evaluation System for Calligraphy Characters (IESCC) is used for teaching calligraphy, and users can learn calligraphy through the modifications given by the system. Chinese character skeleton extraction is an important step in the intelligent evaluation algorithm of calligraphic characters. The skeletons of Chinese characters extracted by traditional refinement algorithms are prone to redundant branches and deformed skeletons, which can lead to skeleton extraction results that do not conform to the topology of the original character. In this study, the focus lies on hard‐pen regular script, and skeleton repair and extraction are performed for these characters. According to the writing characteristics of regular script, the redundant burs are removed and the deformation zone of the thinned skeleton is detected, and then the idea of first splitting is used, then restructuring, to propose a skeleton extraction algorithm based on stroke characterization and ambiguous zone detection for hard‐pen regular script, referred to as SCAD. First, a thinning algorithm is used to extract the skeleton of Chinese characters and remove redundant pixels. By analyzing the stroke characteristics of regular script, the burrs are classified and different conditions are set to detect and remove the burrs. Then the ambiguous zones are detected according to the different kinds of junction points. Then, curvature, stroke width and direction deviation are used to analyze the continuity of stroke segments, and the decision function is used to classify the stroke segments. Finally, the stroke segments with optimal pairings were compensated by interpolation according to the direction trend. This concludes the skeleton extraction. Skeleton extraction is performed on 1000 sample characters, and the SCAD algorithm can extract the skeleton of Chinese characters with an accuracy of up to 98.37%. It is proved that the SCAD method proposed here is a practical and effective method to extract the skeleton of hard‐pen regular script.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Continuity Analysismentioning

confidence: 99%

“…And the blue part is the normal skeleton which should be retained. The window scanning method [31] involves first identifying a complex point (pixel point satisfying

{N}_b( P ) \ge 3

Section: Ambiguous Zone Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Skeleton extraction of hard‐pen regular script based on stroke characterization and ambiguous zone detection

Xu,

Qin,

Xiong

et al. 2024

IET Image Processing

View full text Add to dashboard Cite

show abstract

“…Most stroke extraction methods [1,10,11,[33][34][35] for Chinese Characters firstly analyze ambiguous zones [33] (i.e, cross regions in our paper). For characters in printed fonts, Sun et al [35] represented them using triangular meshes with their singular regions, then used tangent directions of sub-strokes to highlight ambiguous zones; He and Yan [34] used gradient directions of character contours with chain-code features to detect cross regions.…”

Section: Template-free Stroke Extraction For Chinese Charactersmentioning

confidence: 99%

“…In handwritten Chinese characters, stroke extraction is mostly performed with skeletonization to simplify the analysis of cross regions. For example, the method in [33] even summarized out all the appearances of cross regions in skeleton maps instead of using various rules in [13] . Learning-based stroke extraction methods [1,36] were proposed to cope with complicated cases of cross regions.…”

Section: Template-free Stroke Extraction For Chinese Charactersmentioning

confidence: 99%

Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters

Wang

Jiang

Liu

2022

Pattern Recognition

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An Observation Based Method for Human Robot Writing Skill Transfer

Yang

2022

2022 IEEE 17th International Conference on Control &Amp; Automation (ICCA)

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Stroke Extraction of Handwritten Chinese Character Based on Ambiguous Zone Information

Cited by 3 publications

References 8 publications

Skeleton extraction of hard‐pen regular script based on stroke characterization and ambiguous zone detection

Skeleton extraction of hard‐pen regular script based on stroke characterization and ambiguous zone detection

Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters

An Observation Based Method for Human Robot Writing Skill Transfer

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