{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:08:32Z","timestamp":1743138512611,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030630829"},{"type":"electronic","value":"9783030630836"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63083-6_12","type":"book-chapter","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T16:18:09Z","timestamp":1605889089000},"page":"150-162","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Table Structure Recognition in Scanned Images Using a Clustering Method"],"prefix":"10.1007","author":[{"given":"Nam","family":"Van Nguyen","sequence":"first","affiliation":[]},{"given":"Hanh","family":"Vu","sequence":"additional","affiliation":[]},{"given":"Arthur","family":"Zucker","sequence":"additional","affiliation":[]},{"given":"Younes","family":"Belkada","sequence":"additional","affiliation":[]},{"given":"Hai","family":"Van Do","sequence":"additional","affiliation":[]},{"given":"Doanh Ngoc-","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Thanh Tuan","family":"Nguyen Le","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Van Hoang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,21]]},"reference":[{"key":"12_CR1","unstructured":"Table-detection-dataset. https:\/\/github.com\/sgrpanchal31\/table-detection-dataset"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 9365\u20139374 (2019)","DOI":"10.1109\/CVPR.2019.00959"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Clinchant, S., D\u00e9jean, H., Meunier, J.L., Lang, E.M., Kleber, F.: Comparing machine learning approaches for table recognition in historical register books. In: 2018 13th IAPR International Workshop on Document Analysis Systems (DAS), pp. 133\u2013138. IEEE (2018)","DOI":"10.1109\/DAS.2018.44"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Deng, D., Liu, H., Li, X., Cai, D.: Pixellink: detecting scene text via instance segmentation. In: 32nd AAAI Conference on Artificial Intelligence (2018)","DOI":"10.1609\/aaai.v32i1.12269"},{"key":"12_CR5","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226\u2013231 (1996)"},{"key":"12_CR6","unstructured":"Farahmand, A., Sarrafzadeh, H., Shanbehzadeh, J.: Document image noises and removal methods. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, pp. 436\u2013440. Newswood Ltd. (2013)"},{"issue":"1","key":"12_CR7","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 100\u2013108 (1979)","journal-title":"J. Roy. Stat. Soc.: Ser. C (Appl. Stat.)"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"He, T., Tian, Z., Huang, W., Shen, C., Qiao, Y., Sun, C.: An end-to-end textspotter with explicit alignment and attention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5020\u20135029 (2018)","DOI":"10.1109\/CVPR.2018.00527"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"He, W., Zhang, X.Y., Yin, F., Liu, C.L.: Deep direct regression for multi-oriented scene text detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 745\u2013753 (2017)","DOI":"10.1109\/ICCV.2017.87"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Hu, J., Kashi, R.S., Lopresti, D.P., Wilfong, G.: Table structure recognition and its evaluation. In: Document Recognition and Retrieval VIII, vol. 4307, pp. 44\u201355. International Society for Optics and Photonics (2000)","DOI":"10.1117\/12.410859"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Kboubi, F., Chabi, A.H., Ahmed, M.B.: Table recognition evaluation and combination methods. In: 8th International Conference on Document Analysis and Recognition (ICDAR 2005), pp. 1237\u20131241. IEEE (2005)","DOI":"10.1109\/ICDAR.2005.224"},{"key":"12_CR12","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":"12_CR13","doi-asserted-by":"crossref","unstructured":"Liu, X., Liang, D., Yan, S., Chen, D., Qiao, Y., Yan, J.: FOTS: fast oriented text spotting with a unified network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5676\u20135685 (2018)","DOI":"10.1109\/CVPR.2018.00595"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Paliwal, S.S., Vishwanath, D., Rahul, R., Sharma, M., Vig, L.: Tablenet: deep learning model for end-to-end table detection and tabular data extraction from scanned document images. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 128\u2013133. IEEE (2019)","DOI":"10.1109\/ICDAR.2019.00029"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Qasim, S.R., Mahmood, H., Shafait, F.: Rethinking table recognition using graph neural networks. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 142\u2013147. IEEE (2019)","DOI":"10.1109\/ICDAR.2019.00031"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Rashid, S.F., Akmal, A., Adnan, M., Aslam, A.A., Dengel, A.: Table recognition in heterogeneous documents using machine learning. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 777\u2013782. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.132"},{"key":"12_CR18","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"issue":"5","key":"12_CR19","first-page":"1","volume":"1","author":"Y Sasaki","year":"2007","unstructured":"Sasaki, Y., et al.: The truth of the f-measure. Teach Tutor mater 1(5), 1\u20135 (2007)","journal-title":"Teach Tutor mater"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Satopaa, V., Albrecht, J., Irwin, D., Raghavan, B.: Finding a \u201ckneedle\u201d in a haystack: detecting knee points in system behavior. In: 2011 31st International Conference on Distributed Computing Systems Workshops, pp. 166\u2013171. IEEE (2011)","DOI":"10.1109\/ICDCSW.2011.20"},{"issue":"4","key":"12_CR21","doi-asserted-by":"publisher","first-page":"588","DOI":"10.3390\/a5040588","volume":"5","author":"F Scholkmann","year":"2012","unstructured":"Scholkmann, F., Boss, J., Wolf, M.: An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals. Algorithms 5(4), 588\u2013603 (2012)","journal-title":"Algorithms"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Schreiber, S., Agne, S., Wolf, I., Dengel, A., Ahmed, S.: Deepdesrt: deep learning for detection and structure recognition of tables in document images. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 1162\u20131167. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.192"},{"key":"12_CR23","volume-title":"Morphological Image Analysis: Principles and Applications","author":"P Soille","year":"2013","unstructured":"Soille, P.: Morphological Image Analysis: Principles and Applications. Springer Science & Business Media, Heidelberg (2013)"},{"issue":"1","key":"12_CR24","first-page":"548","volume":"6","author":"O Sudana","year":"2018","unstructured":"Sudana, O., Putra, D., Sudarma, M., Hartati, R.S., Wirdiani, A.: Image clustering of complex balinese character with dbscan algorithm. J. Eng. Technol. 6(1), 548\u2013558 (2018)","journal-title":"J. Eng. Technol."},{"issue":"3","key":"12_CR25","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu, R., Wunsch, D.: Survey of clustering algorithms. IEEE Trans. Neural Netw. 16(3), 645\u2013678 (2005)","journal-title":"IEEE Trans. Neural Netw."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Industrial Networks and Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63083-6_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T03:14:45Z","timestamp":1669691685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-63083-6_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030630829","9783030630836"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63083-6_12","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"21 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INISCOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Industrial Networks and Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hanoi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iniscom2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iniscom.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"44% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to COVID-19 pandemic the conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}