{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:23:11Z","timestamp":1775697791860,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Oracle Bone Inscriptions (OBI) research is very meaningful for both history and literature. In this paper, we introduce our contributions in AI-Powered Oracle Bone (OB) fragments rejoining and OBI recognition.   (1) We build a real-world dataset OB-Rejoin, and propose an effective OB rejoining algorithm which yields a top-10 accuracy of 98.39%. (2) We design a practical annotation software to facilitate OBI annotation, and build OracleBone-8000, a large-scale dataset with character-level annotations. We adopt deep learning based scene text detection algorithms for OBI localization, which yield an F-score of 89.7%. We propose  a novel deep template matching algorithm for OBI recognition which achieves  an overall accuracy of 80.9%. Since we have been cooperating closely with OBI domain experts,  our effort above helps advance their research. The resources of this work are available at https:\/\/github.com\/chongshengzhang\/OracleBone.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/779","type":"proceedings-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:12:49Z","timestamp":1594260769000},"page":"5309-5311","source":"Crossref","is-referenced-by-count":20,"title":["AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining"],"prefix":"10.24963","author":[{"given":"Chongsheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Henan University"}]},{"given":"Ruixing","family":"Zong","sequence":"additional","affiliation":[{"name":"Henan University"}]},{"given":"Shuang","family":"Cao","sequence":"additional","affiliation":[{"name":"Henan University"}]},{"given":"Yi","family":"Men","sequence":"additional","affiliation":[{"name":"Henan University"}]},{"given":"Bofeng","family":"Mo","sequence":"additional","affiliation":[{"name":"Capital Normal University, China"}]}],"member":"10584","event":{"name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:17:10Z","timestamp":1594261030000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/779"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/779","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}