{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T04:03:49Z","timestamp":1728187429120},"reference-count":15,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2024,10,1]]},"DOI":"10.1587\/transinf.2024edl8029","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T22:13:05Z","timestamp":1727734385000},"page":"1376-1379","source":"Crossref","is-referenced-by-count":0,"title":["TDEM: Table Data Extraction Model Based on Cell Segmentation"],"prefix":"10.1587","volume":"E107.D","author":[{"given":"Zhe","family":"WANG","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics, Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe-Ming","family":"LU","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"LUO","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang-Ming","family":"ZHENG","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Zhejiang University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] J. Liu, X. Ding, and Y. Wu, \u201cDescription and recognition of form and automated form data entry,\u201d Proc. Third International Conference on Document Analysis and Recognition, 1995. doi: 1109\/ICDAR.1995.601963 10.1109\/ICDAR.1995.601963"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] A. Shigarov, A. Mikhailov, and A. Altaev, \u201cConfigurable table structure recognition in untagged PDF documentsm\u201d ACM Symposium on Document Engineering, pp.119-122, 2016. 10.1145\/2960811.2967152","DOI":"10.1145\/2960811.2967152"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] J. Li, K. Wang, S. Hao, and Q.R. Wang, \u201cLocation and recognition of free tables in form,\u201d 2012 International Conference on Software Engineering, Knowledge Engineering and Information Engineering: Theory and Practice, Advances in Intelligent and Soft Computing, vol.162, pp.685-692, Springer, Berlin, Heidelberg., 2012. 10.1007\/978-3-642-29455-6_94","DOI":"10.1007\/978-3-642-29455-6_94"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] R. Rastan, H.-Y. Paik, and J. Shepherd, \u201cTEXUS: A task-based approach for table extraction and understanding,\u201d Proc. 2015 ACM Symposium on Document Engineering, pp.25-34, 2015. 10.1145\/2682571.2797069","DOI":"10.1145\/2682571.2797069"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] L. Gao, Y. Huang, H. D\u00e9jean, J.-L. Meunier, Q. Yan, Y. Fang, F. Kleber, and E. Lang, \u201cICDAR 2019 competition on table detection and recognition (cTDaR),\u201d 2019 International Conference on Document Analysis and Recognition (ICDAR), Sydney, NSW, Australia, pp.1510-1515, 2019. 10.1109\/icdar.2019.00243","DOI":"10.1109\/ICDAR.2019.00243"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] M. G\u00f6bel, T. Hassan, E. Oro, and G. Orsi, \u201cICDAR 2013 table competition,\u201d 2013 12th International Conference on Document Analysis and Recognition, Washington, DC, USA, pp.1449-1453, 2013. 10.1109\/icdar.2013.292","DOI":"10.1109\/ICDAR.2013.292"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] A. Laurentini and P. Viada, \u201cIdentifying and understanding tabular material in compound documents,\u201d Proc. 11th IAPR International Conference on Pattern Recognition, vol.II, Conference B: Pattern Recognition Methodology and Systems, The Hague, Netherlands, pp.405-409, 1992. 10.1109\/icpr.1992.201803","DOI":"10.1109\/ICPR.1992.201803"},{"key":"8","unstructured":"[8] S. Chandran and R. Kasturi, \u201cStructural recognition of tabulated data,\u201d Proc. 2nd International Conference on Document Analysis and Recognition (ICDAR&apos;93), Tsukuba, Japan, pp.516-519, 1993. 10.1109\/icdar.1993.395683"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] C. Akinlar and C. Topal, \u201cEdlines: Real-time line segment detection by Edge Drawing (ed),\u201d Proc. 18th IEEE International Conference on Image Processing, Brussels, Belgium, pp.2837-2840, 2011. 10.1109\/icip.2011.6116138","DOI":"10.1109\/ICIP.2011.6116138"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] E. Koci, M. Thiele, O. Romero, and W. Lehner, \u201cA genetic-based search for adaptive table recognition in spreadsheets,\u201d 2019 International Conference on Document Analysis and Recognition (ICDAR), Sydney, NSW, Australia, pp.1274-1279, 2019. 10.1109\/icdar.2019.00206","DOI":"10.1109\/ICDAR.2019.00206"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] A.C. Silva, A.M. Jorge and L. Torgo, \u201cDesign of an end-to-end method to extract information from tables,\u201d 2006 International Journal of Document Analysis and Recognition, vol.8, pp.144-171, 2006. 10.1007\/s10032-005-0001-x","DOI":"10.1007\/s10032-005-0001-x"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S. Schreiber, S. Agne, I. Wolf, A. Dengel, and S. Ahmed, \u201cDeepDeSRT: Deep learning for detection and structure recognition of tables in document images,\u201d 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan, pp.1162-1167, 2017. 10.1109\/icdar.2017.192","DOI":"10.1109\/ICDAR.2017.192"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] C. Tensmeyer, V.I. Morariu, B. Price, S. Cohen, and T. Martinez, \u201cDeep splitting and merging for table structure decomposition,\u201d 2019 International Conference on Document Analysis and Recognition (ICDAR), Sydney, NSW, Australia, pp.114-121, 2019. 10.1109\/icdar.2019.00027","DOI":"10.1109\/ICDAR.2019.00027"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] S.S. Paliwal, V. D, R. Rahul, M. Sharma, and L. Vig, \u201cTableNet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images,\u201d 2019 International Conference on Document Analysis and Recognition (ICDAR), Sydney, NSW, Australia, pp.128-133, 2019. 10.1109\/icdar.2019.00029","DOI":"10.1109\/ICDAR.2019.00029"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] D. Prasad, A. Gadpal, K. Kapadni, M. Visave, and K. Sultanpure, \u201cCascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents,\u201d 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, pp.2439-2447, 2020. 10.1109\/cvprw50498.2020.00294","DOI":"10.1109\/CVPRW50498.2020.00294"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/10\/E107.D_2024EDL8029\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T03:45:31Z","timestamp":1728099931000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/10\/E107.D_2024EDL8029\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,1]]},"references-count":15,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2024edl8029","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2024,10,1]]},"article-number":"2024EDL8029"}}