Stroke Extraction Algorithm of Clerical Script in Han Dynasty Based on Contour: Take “Stele of Cao Quan” as an Example

Author:

Guoqing Liu1,Changning Hao2ORCID,Jingbo Yan3,Jing Dong4ORCID,Zuolong Zhao5,Lujia Hao6

Affiliation:

1. Education Management Leadership, School of Education, Bangkok Thonburi University, Bangkok 10170, Thailand

2. Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Selangor 43400, Malaysia

3. School of Arts, Shandong Cultural Industry Vocational College, Qing Dao 266600, China

4. School of Distance Education, Universiti Sains Malaysia, Penang 11800, Malaysia

5. School of Calligraphy, Jilin Jianzhu University, Chang Chun 130119, China

6. School of Calligraphy, Hebei Academy of Fine Arts, Shijiazhuang 050700, China

Abstract

Under natural conditions, the inscription will be damaged by corrosion and oxidation, which is very unfavorable for the inheritance of this cultural heritage. Therefore, how to protect and study ancient calligraphy inscriptions by modern scientific and technological methods is a scientific and technological problem before us. In this paper, taking “Stele of Cao Quan” as an example, a stroke extraction algorithm of clerical script in Han Dynasty based on contour is proposed. Starting from the Chinese character skeleton, the basic skeleton is extracted by parallel thinning algorithm, and the redundant points in the skeleton are eliminated by matching with the construction template. In addition, the contour tracking thinning algorithm is analyzed. Aiming at the problems that the starting point is difficult to determine and the tracking process is complicated, the method of determining the tracking starting point is given, and some problems existing in the tracking process are solved. The experimental results show that the accuracy of regular script, running script, and clerical script is 88.35%, 86.71%, and 84.09%, respectively. Experiments show that the contour-based clean script stroke extraction algorithm can correctly extract clean script strokes.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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