In:
Journal of Chinese Writing Systems, SAGE Publications, Vol. 4, No. 4 ( 2020-12), p. 281-290
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.
Type of Medium:
Online Resource
ISSN:
2513-8502
,
2513-8510
DOI:
10.1177/2513850220952890
Language:
English
Publisher:
SAGE Publications
Publication Date:
2020
detail.hit.zdb_id:
2917388-7
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