The Research on Rejoining of the Oracle Bone Rubbings Based on Curve Matching

Author:

Tian Yaolin1,Gao Weize1,Liu Xuxing1,Chen Shanxiong1,Mo Bofeng2

Affiliation:

1. Southwest University, Beibei Qu, Chongqing Shi, China

2. Capital Normal University, Haidian Qu, Beijing Shi, China

Abstract

The rejoining of oracle bone rubbings is a fundamental topic for oracle research. However, it is a tough task to reassemble severely broken oracle bone rubbings because of detail loss in manual labeling, the great time consumption of rejoining, and the low accuracy of results. To overcome the challenges, we introduce a novel CFDA&CAP algorithm that consists of the Curve Fitting Degree Analysis (CFDA) algorithm and the Correlation Analysis of Pearson (CAP) algorithm. First, the orthogonalization system is constructed to extract local features based on the curve features analysis. Second, the global feature descriptor is depicted by using coordinate points sequences. Third, we screen candidate curves based on the features as well as the CFDA algorithm, so the search range of the candidates is narrowed down. Finally, image recommendation libraries for target curves are generated by adopting the CAP algorithm, and the rank for each target matching curve generates simultaneously for result evaluation. With experiments, the proposed method shows a good effect in rejoining oracle bone rubbings automatically: (1) it improves the average accuracy rate of curve matching up to 84%, and (2) for a low-resource task, the accuracy of our method has 25% higher accuracy than that of other methods.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Chongqing Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities, China

National Social Science Foundation of China

Chongqing Key Laboratory of Automatic Reasoning and Cognition, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

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