{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:23:16Z","timestamp":1775697796664,"version":"3.50.1"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031705328","type":"print"},{"value":"9783031705335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-70533-5_11","type":"book-chapter","created":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:02:25Z","timestamp":1725685345000},"page":"169-187","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with\u00a0Radical Reconstruction"],"prefix":"10.1007","author":[{"given":"Pengjie","family":"Wang","sequence":"first","affiliation":[]},{"given":"Kaile","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xinyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shengwei","family":"Han","sequence":"additional","affiliation":[]},{"given":"Yongge","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Lianwen","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Xiang","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Yuliang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,8]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Bazerman, C.: Handbook of research on writing: History, society, school, individual, text. Routledge (2009)","DOI":"10.4324\/9781410616470"},{"key":"11_CR2","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)"},{"issue":"3","key":"11_CR3","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1080\/00438243.1986.9979980","volume":"17","author":"WG Boltz","year":"1986","unstructured":"Boltz, W.G.: Early Chinese writing. World Archaeol. 17(3), 420\u2013436 (1986)","journal-title":"World Archaeol."},{"key":"11_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107488","volume":"107","author":"Z Cao","year":"2020","unstructured":"Cao, Z., Lu, J., Cui, S., Zhang, C.: Zero-shot handwritten Chinese character recognition with hierarchical decomposition embedding. Pattern Recogn. 107, 107488 (2020)","journal-title":"Pattern Recogn."},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Chang, X., Chao, F., Shang, C., Shen, Q.: Sundial-gan: a cascade generative adversarial networks framework for deciphering oracle bone inscriptions. In: Proc. ACM Int. Conf. Multimedia, pp. 1195\u20131203 (2022)","DOI":"10.1145\/3503161.3547925"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Diao, X., et al.: Toward zero-shot character recognition: a gold standard dataset with radical-level annotations. In: Proc. ACM Int. Conf. Multimedia, pp. 6869\u20136877 (2023)","DOI":"10.1145\/3581783.3612201"},{"issue":"12","key":"11_CR7","first-page":"88","volume":"5","author":"L Fang","year":"2022","unstructured":"Fang, L., Huabiao, L., Jin, M., Sheng, Y., Peiran, J.: Automatic detection and recognition of oracle rubbings based on mask r-cnn. Data Analysis and Knowledge Discovery 5(12), 88\u201397 (2022)","journal-title":"Data Analysis and Knowledge Discovery"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Fu, X., Yang, Z., Zeng, Z., Zhang, Y., Zhou, Q.: Improvement of oracle bone inscription recognition accuracy: a deep learning perspective. ISPRS Int. J. Geo-Information 11(1) (2022). https:\/\/doi.org\/10.3390\/ijgi11010045, https:\/\/www.mdpi.com\/2220-9964\/11\/1\/45","DOI":"10.3390\/ijgi11010045"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast r-cnn. In: Proc. IEEE Int. Conf. Comp. Vis., pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"11_CR10","unstructured":"Guan, H., et al.: An open dataset for the evolution of oracle bone characters: Evobc. arXiv preprint arXiv:2401.12467 (2024)"},{"issue":"1","key":"11_CR11","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1109\/TIP.2015.2500019","volume":"25","author":"J Guo","year":"2016","unstructured":"Guo, J., Wang, C., Roman-Rangel, E., Chao, H., Rui, Y.: Building hierarchical representations for oracle character and sketch recognition. IEEE Trans. Image Process. 25(1), 104\u2013118 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"11_CR12","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1109\/TIP.2015.2500019","volume":"25","author":"J Guo","year":"2016","unstructured":"Guo, J., Wang, C., Roman-Rangel, E., Chao, H., Rui, Y.: Building hierarchical representations for oracle character and sketch recognition. IEEE Trans. Image Process. 25(1), 104\u2013118 (2016). https:\/\/doi.org\/10.1109\/TIP.2015.2500019","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Han, W., Ren, X., Lin, H., Fu, Y., Xue, X.: Self-supervised learning of orc-bert augmentator for recognizing few-shot oracle characters. In: Proc. Asian Conf. Comp. Vis. (2020)","DOI":"10.1007\/978-3-030-69544-6_39"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.: Momentum contrast for unsupervised visual representation learning. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn., pp. 9729\u20139738 (2020)","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proc. IEEE Conf. Comp. Vis. Patt. Recogn., pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"11_CR16","doi-asserted-by":"publisher","unstructured":"Huang, S., Wang, H., Liu, Y., Shi, X., Jin, L.: Obc306: a large-scale oracle bone character recognition dataset. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 681\u2013688 (2019). https:\/\/doi.org\/10.1109\/ICDAR.2019.00114","DOI":"10.1109\/ICDAR.2019.00114"},{"key":"11_CR17","unstructured":"Kirillov, A., et\u00a0al.: Segment anything. arXiv preprint arXiv:2304.02643 (2023)"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhu, Y., Du, J., Wu, C., Zhang, J.: Radical counter network for robust Chinese character recognition. In: Proc. Int. Conf. Patt. Recogn., pp. 4191\u20134197 (2021)","DOI":"10.1109\/ICPR48806.2021.9412918"},{"issue":"3","key":"11_CR19","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/s10032-021-00392-2","volume":"25","author":"X Lin","year":"2022","unstructured":"Lin, X., Chen, S., Zhao, F., Qiu, X.: Radical-based extract and recognition networks for oracle character recognition. Int. J. Doc. Anal. Recognit. 25(3), 219\u2013235 (2022)","journal-title":"Int. J. Doc. Anal. Recognit."},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Liu, G., Xing, J., Xiong, J.: Spatial pyramid block for oracle bone inscription detection. In: Proceedings of the 2020 9th International Conference on Software and Computer Applications, pp. 133\u2013140. Association for Computing Machinery (2020)","DOI":"10.1145\/3384544.3384561"},{"key":"11_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot MultiBox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"key":"11_CR22","volume-title":"Spts v2: single-point scene text spotting","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Zhang, J., Peng, D., Huang, M., Wang, X., Tang, J., Huang, C., Lin, D., Shen, C., Bai, X., et al.: Spts v2: single-point scene text spotting. IEEE Trans. Pattern Anal. Mach, Intell (2023)"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Oracle character detection based on improved faster r-cnn. In: 2021 International Conference on Intelligent Transportation, Big Data Smart City (ICITBS), pp. 697\u2013700 (2021)","DOI":"10.1109\/ICITBS53129.2021.00175"},{"key":"11_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/978-3-030-30754-7_13","volume-title":"New Trends in Image Analysis and Processing \u2013 ICIAP 2019","author":"L Meng","year":"2019","unstructured":"Meng, L., Lyu, B., Zhang, Z., Aravinda, C.V., Kamitoku, N., Yamazaki, K.: Oracle bone inscription detector based on SSD. In: Cristani, M., Prati, A., Lanz, O., Messelodi, S., Sebe, N. (eds.) ICIAP 2019. LNCS, vol. 11808, pp. 126\u2013136. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-30754-7_13"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Peng, D., et\u00a0al.: Spts: single-point text spotting. In: Proc. ACM Int. Conf. Multimedia, pp. 4272\u20134281 (2022)","DOI":"10.1145\/3503161.3547942"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-cam: visual explanations from deep networks via gradient-based localization. In: Proc. IEEE Int. Conf. Comp. Vis., pp. 618\u2013626 (2017)","DOI":"10.1109\/ICCV.2017.74"},{"key":"11_CR27","unstructured":"Suzuki, A., Suzuki, T.: A survey on the achievements of the oracle bone digitization projects and prior definitions of the targets. J. Inf. Process. Soc. Japan. DD (Digital Document) (6), 1\u20138 (2013)"},{"key":"11_CR28","unstructured":"Vaswani, A., et al.: Attention is all you need. Proc. Advances in Neural Inf. Process, Syst. (2017)"},{"key":"11_CR29","doi-asserted-by":"publisher","first-page":"3137","DOI":"10.1109\/TIP.2022.3165989","volume":"31","author":"M Wang","year":"2022","unstructured":"Wang, M., Deng, W., Liu, C.L.: Unsupervised structure-texture separation network for oracle character recognition. IEEE Trans. Image Process. 31, 3137\u20133150 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR30","doi-asserted-by":"crossref","unstructured":"Wang, P., et al.: An open dataset for oracle bone script recognition and decipherment. arXiv preprint arXiv:2401.15365 (2024)","DOI":"10.1038\/s41597-024-03807-x"},{"key":"11_CR31","doi-asserted-by":"crossref","unstructured":"Wang, W., Zhang, J., Du, J., Wang, Z.R., Zhu, Y.: Denseran for offline handwritten Chinese character recognition. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 104\u2013109. IEEE (2018)","DOI":"10.1109\/ICFHR-2018.2018.00027"},{"key":"11_CR32","doi-asserted-by":"crossref","unstructured":"Xing, J., Liu, G., Xiong, J.: Oracle bone inscription detection: a survey of oracle bone inscription detection based on deep learning algorithm. In: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, pp.\u00a01\u20138 (2019)","DOI":"10.1145\/3371425.3371434"},{"key":"11_CR33","unstructured":"Xiong, R., et al.: On layer normalization in the transformer architecture. In: Proc. Int. Conf. Mach. Learn., pp. 10524\u201310533. PMLR (2020)"},{"key":"11_CR34","doi-asserted-by":"crossref","unstructured":"Yang, Z., Fu, T.: Oracle detection and recognition based on improved tiny-yolov4. In: Proceedings of the 2020 4th International Conference on Video and Image Processing, pp. 128\u2013133. Association for Computing Machinery (2021)","DOI":"10.1145\/3447450.3447464"},{"key":"11_CR35","doi-asserted-by":"publisher","unstructured":"Yue, X., Li, H., Fujikawa, Y., Meng, L.: Dynamic dataset augmentation for deep learning-based oracle bone inscriptions recognition. J. Comput. Cult. Herit. 15(4), December 2022. https:\/\/doi.org\/10.1145\/3532868. https:\/\/doi.org\/10.1145\/3532868","DOI":"10.1145\/3532868"},{"key":"11_CR36","doi-asserted-by":"crossref","unstructured":"Zhang, G., Liu, D., Smyth, B., Dong, R.: Deciphering ancient chinese oracle bone inscriptions using case-based reasoning. In: S\u00e1nchez-Ruiz, A.A., Floyd, M.W. (eds.) Case-Based Reasoning Research and Development. pp. 309\u2013324. Springer International Publishing (2021)","DOI":"10.1007\/978-3-030-86957-1_21"},{"key":"11_CR37","doi-asserted-by":"crossref","unstructured":"Zhang, J., Zhu, Y., Du, J., Dai, L.: Radical analysis network for zero-shot learning in printed Chinese character recognition. In: Proc. IEEE Int. Conf. Multimedia & Expo., pp.\u00a01\u20136. IEEE (2018)","DOI":"10.1109\/ICME.2018.8486456"},{"key":"11_CR38","doi-asserted-by":"crossref","unstructured":"Zhang, Y.K., Zhang, H., Liu, Y.G., Yang, Q., Liu, C.L.: Oracle character recognition by nearest neighbor classification with deep metric learning. In: Proc. Int. Conf. Doc. Anal. and Recognit., pp. 309\u2013314 (2019)","DOI":"10.1109\/ICDAR.2019.00057"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition - ICDAR 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70533-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T05:05:02Z","timestamp":1725685502000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70533-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031705328","9783031705335"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70533-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"8 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icdar2024.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}