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A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond
Jing Li, Xueke Chi, Qiufeng Wang et al., 2024.
What it's used for here
Survey of oracle character recognition with a table of datasets (Oracle-20K, OBC306, HWOBC, HUST-OBC, EVOBC, Oracle-MNIST, OBI125) and their repositories; states about 4,500 classes found and about 2,200 mapped to modern characters.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
arxiv.org · fetched 31 Oct 2026
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Cited by on this site 2 records
Cite it
Jing Li, Xueke Chi, Qiufeng Wang, Kaizhu Huang, Da-Han Wang, Yongge Liu, & Cheng-Lin Liu (2024). A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond. https://doi.org/10.48550/arXiv.2411.11354
@article{li2024survey,
author = {Jing Li} and {Xueke Chi} and {Qiufeng Wang} and {Kaizhu Huang} and {Da-Han Wang} and {Yongge Liu} and {Cheng-Lin Liu},
title = {A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond},
year = {2024},
doi = {10.48550/arXiv.2411.11354},
url = {https://arxiv.org/abs/2411.11354}
}TY - GEN TI - A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond AU - Jing Li AU - Xueke Chi AU - Qiufeng Wang AU - Kaizhu Huang AU - Da-Han Wang AU - Yongge Liu AU - Cheng-Lin Liu PY - 2024 DO - 10.48550/arXiv.2411.11354 UR - https://arxiv.org/abs/2411.11354 ER -
et al.. “A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond.” 2024. https://doi.org/10.48550/arXiv.2411.11354.