{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:10Z","timestamp":1750220350513,"version":"3.41.0"},"reference-count":29,"publisher":"Association for Computing Machinery (ACM)","issue":"6","license":[{"start":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T00:00:00Z","timestamp":1628726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2021,11,30]]},"abstract":"<jats:p>\n            The work reported in this article deals with the ground truth generation scheme for online handwritten Bangla documents at text-line, word, and stroke levels. The aim of the proposed scheme is twofold: firstly, to build a document level database so that future researchers can use the database to do research in this field. Secondly, the ground truth information will help other researchers to evaluate the performance of their algorithms developed for text-line extraction, word extraction, word segmentation, stroke recognition, and word recognition. The reported ground truth generation scheme starts with text-line extraction from the online handwritten Bangla documents, then words extraction from the text-lines, and finally segmentation of those words into basic strokes. After word segmentation, the basic strokes are assigned appropriate class labels by using modified distance-based feature extraction procedure and the\n            <jats:bold>MLP<\/jats:bold>\n            (\n            <jats:bold>Multi-layer Perceptron<\/jats:bold>\n            ) classifier. The Unicode for the words are then generated from the sequence of stroke labels. XML files are used to store the stroke, word, and text-line levels ground truth information for the corresponding documents. The proposed system is semi-automatic and each step such as text-line extraction, word extraction, word segmentation, and stroke recognition has been implemented by using different algorithms. Thus, the proposed ground truth generation procedure minimizes huge manual intervention by reducing the number of mouse clicks required to extract text-lines, words from the document, and segment the words into basic strokes. The integrated stroke recognition module also helps to minimize the manual labor needed to assign appropriate stroke labels. The freely available and can be accessed at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"url\" xlink:href=\"https:\/\/byanjon.herokuapp.com\/\">https:\/\/byanjon.herokuapp.com\/<\/jats:ext-link>\n            .\n          <\/jats:p>","DOI":"10.1145\/3464379","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T16:57:58Z","timestamp":1628787478000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["BYANJON: A Ground Truth Preparation System for Online Handwritten Bangla Documents"],"prefix":"10.1145","volume":"20","author":[{"given":"Shibaprasad","family":"Sen","sequence":"first","affiliation":[{"name":"University of Engineering &amp; Management, Kolkata, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ankan","family":"Bhattacharyya","sequence":"additional","affiliation":[{"name":"Future Institute of Engineering &amp; Management, Kolkata, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ram","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Jadavpur University, Kolkata, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushik","family":"Roy","sequence":"additional","affiliation":[{"name":"West Bengal State University, Kolkata, West Bengal, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4373-y"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-4745-3"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12046-019-1159-0"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2732978"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.12.026"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.135"},{"volume-title":"International Conference on Frontiers in Handwriting Recognition, 537\u2013542","author":"Irfan A.","key":"e_1_2_1_7_1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","unstructured":"S. Sen M. Mitra S. Chowdhury R. Sarkar and K. Roy. 2016. Quad-tree based Image segmentation and feature extraction to recognize online handwritten Bangla characters. In 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 246\u2013256.  S. Sen M. Mitra S. Chowdhury R. Sarkar and K. Roy. 2016. Quad-tree based Image segmentation and feature extraction to recognize online handwritten Bangla characters. In 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 246\u2013256.","DOI":"10.1007\/978-3-319-46182-3_21"},{"volume-title":"International Conference on Information Technology & Applied Mathematics, 175\u2013183","author":"Sen S.","key":"e_1_2_1_9_1"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/1304595.1304805"},{"key":"e_1_2_1_11_1","unstructured":"K. Roy. 2012. Stroke-database design for online handwriting recognition in Bangla. In International Journal of Modern Engineering Research 2534\u20132540.  K. Roy. 2012. Stroke-database design for online handwriting recognition in Bangla. In International Journal of Modern Engineering Research 2534\u20132540."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178457"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-017-0287-5"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.03.030"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.02.008"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2010.68"},{"volume-title":"International Conference on Frontiers in Handwriting Recognition, 320\u2013325","author":"Bhattacharya U.","key":"e_1_2_1_17_1"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2034617.2034635"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.126"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2012.275"},{"key":"e_1_2_1_21_1","first-page":"980","article-title":"Individual character segmentation from single stroke of Bangla online handwritten text","volume":"3","author":"Bhattacharya N.","year":"2011","journal-title":"International Journal of Machine Intelligence"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1815330.1815343"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.12.015"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1261096"},{"volume-title":"Proceedings of IAPR International Conference on Pattern Recognition, 29\u201333","author":"Guyon I.","key":"e_1_2_1_25_1"},{"volume-title":"International Conference on Computer Vision and Image Processing, 457\u2013466","author":"Singh H.","key":"e_1_2_1_26_1"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2010.71"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/839279.840504"},{"volume-title":"Retrieved on","year":"2013","author":"0","key":"e_1_2_1_29_1"}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3464379","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3464379","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:17:10Z","timestamp":1750191430000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3464379"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,12]]},"references-count":29,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2021,11,30]]}},"alternative-id":["10.1145\/3464379"],"URL":"https:\/\/doi.org\/10.1145\/3464379","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"type":"print","value":"2375-4699"},{"type":"electronic","value":"2375-4702"}],"subject":[],"published":{"date-parts":[[2021,8,12]]},"assertion":[{"value":"2020-08-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-04-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-08-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}