[1]LU Xuzheng,CAI Hengjin,LIN Li.Recognition of Oracle Radical based on the Capsule network[J].CAAI Transactions on Intelligent Systems,2020,15(2):243-254.[doi:10.11992/tis.201904069]
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Recognition of Oracle Radical based on the Capsule network

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 15 Number of periods: 2020 2 Page number: 243-254 Column: 学术论文—自然语言处理与理解 Public date: 2020-03-05
Title:
Recognition of Oracle Radical based on the Capsule network
Author(s):
LU Xuzheng;  CAI Hengjin;  LIN Li
School of Computer Science, Wuhan University, Wuhan 430072, China
Keywords:
inscriptions on bones or tortoise shells of the Shang Dynasty; Oracle Radical recognition; convolutional neural networks; Capsule network; dynamic routing algorithm; transfer learning; multi-target recognition;  image recognition; ?
CLC:
TP319.4
DOI:
10.11992/tis.201904069
Abstract:
As the earliest shaped character system in China, the inscriptions on bones or tortoise shells of the Shang Dynasty (c. 16th–11th century BC) have important cultural and academic values. The research on the constructional element, i.e., Oracle Radical, and configuration system of the inscriptions on bones or tortoise shells of the Shang Dynasty is a vital direction to identify the unrecognized Oracle Graphics. However, the marking of Radicals can only be done by experienced experts; moreover, it will take a considerable amount of time and effort. To solve these problems, we proposed a model, i.e., OracleNet, based on the Capsule network and transfer learning, which can automatically identify the Oracle Radical contained in a graphic. At the same time, we built a labeled Oracle Graphics dataset and a labeled Radicals dataset, which were used for training and evaluating the model. The experiment showed that the OracleNet had more than 60% precision for recognizing Radicals in a graphic and the Top 5 precision reached 71.56%, which verified validity of the model.
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