A study on encoding-based oracle bone script recognition

Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/139459

Title:	A study on encoding-based oracle bone script recognition
Authors:	杜容玥 Tu, Jung-Yueh Chen, Tingzhu Qian, Yaoyao Pei, Jingyu Wu, Shaoteng Wu, Jiang Li, Lin
Contributors:	華文碩
Keywords:	Encoding-based;oracle bone script;recognition technology;relevant information points;XiaoTun village
Date:	2020-12
Issue Date:	2022-03-28 15:31:03 (UTC+8)
Abstract:	Oracle bone script recognition (OBSR) has been a fundamental problem in research on oracle bone scripts for decades. Despite being intensively studied, existing OBSR methods are still subject to limitations regarding recognition accuracy, speed and robustness. Furthermore, the dependency of these methods on expert knowledge hinders the adoption of OBSR systems by the general public and also discourages social outreach of research outputs. Addressing these issues, this study proposes an encoding-based OBSR system that applies image pre-processing techniques to encode oracle images into small matrices and recognize oracle characters in the encoding space. We tested our methods on a collection of oracle bones from the Yin Ruins in XiaoTun village, and achieved a high accuracy rate of 99% within a time range of milliseconds.
Relation:	Journal of Chinese Writing Systems,Vol.4, No.4, pp.281-290
Data Type:	article
DOI 連結:	https://doi.org/doi: 10.1177/2513850220952890
Appears in Collections:	[華語文教學博／碩士學位學程] 期刊論文

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