{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T23:28:50Z","timestamp":1744327730018,"version":"3.37.3"},"reference-count":32,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004386","name":"Universiti Malaya","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004386","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.eswa.2022.118266","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T16:36:34Z","timestamp":1658766994000},"page":"118266","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Text line segmentation from struck-out handwritten document images"],"prefix":"10.1016","volume":"210","author":[{"given":"Palaiahnakote","family":"Shivakumara","sequence":"first","affiliation":[]},{"given":"Tanmay","family":"Jain","sequence":"additional","affiliation":[]},{"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[]},{"given":"Nitish","family":"Surana","sequence":"additional","affiliation":[]},{"given":"Apostolos","family":"Antonacopoulos","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Lu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2022.118266_b0005","series-title":"Proc. ICFHR","first-page":"643","article-title":"An approach of strike-out text identification from handwritten documents","author":"Adak","year":"2014"},{"key":"10.1016\/j.eswa.2022.118266_b0010","series-title":"Proc. IJCNN","first-page":"1465","article-title":"Impact of struck-out text on writer identification","author":"Adak","year":"2017"},{"key":"10.1016\/j.eswa.2022.118266_b0015","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1049\/iet-ipr.2017.0223","article-title":"Automatic segmentation and reconstruction of historical manuscripts in gradient domain","author":"Baig","year":"2018","journal-title":"IET Image Processing"},{"key":"10.1016\/j.eswa.2022.118266_b0020","series-title":"Proc. ICDAR","first-page":"1131","article-title":"Age estimation using disconnectedness features in handwriting","author":"Basavaraj","year":"2019"},{"key":"10.1016\/j.eswa.2022.118266_b0025","series-title":"Proc. SPIE","doi-asserted-by":"crossref","DOI":"10.1117\/12.766466","article-title":"Automatic removal of crossed-out handwritten text and the effect on writer verification and identification","author":"Brink","year":"2008"},{"key":"10.1016\/j.eswa.2022.118266_b0030","first-page":"82","article-title":"An approach for detecting and cleaning of struck-out handwritten text","author":"Chaudhuri","year":"2017","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2022.118266_b0035","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.eswa.2018.12.012","article-title":"Exploiting forced alignment of time-reversed data for improving HMM-based handwriting segmentation","volume":"121","author":"Choudhury","year":"2019","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2022.118266_b0040","series-title":"Proc. ICDAR","first-page":"1505","article-title":"ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents","author":"Christlein","year":"2019"},{"key":"10.1016\/j.eswa.2022.118266_b0045","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1109\/TPAMI.2011.113","article-title":"A Novel Word Spotting Method Based on Recurrent Neural Networks","author":"Frinken","year":"2012","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2022.118266_b0050","series-title":"Proc. ICFHR","first-page":"349","article-title":"Unconstrained Handwritten Arabic Text-lines Segmentation based on AR2U-Net","author":"Gader","year":"2020"},{"key":"10.1016\/j.eswa.2022.118266_b0055","first-page":"2017","article-title":"A user centered segmentation method for complex historical manuscripts based on document graphs","volume":"181\u2013193","author":"Garz","year":"2017","journal-title":"IEEE Transactions on Human-Machine Systems"},{"key":"10.1016\/j.eswa.2022.118266_b0060","series-title":"Proc. ICFHR","first-page":"737","article-title":"ICFHR 2010 Handwriting Segmentation Contest","author":"Gatos","year":"2010"},{"key":"10.1016\/j.eswa.2022.118266_b0065","series-title":"Proc. ICFHR","first-page":"325","article-title":"A new scheme for text line and character segmentation from gray scale images of Palm leaf manuscript","author":"Kesiman","year":"2016"},{"key":"10.1016\/j.eswa.2022.118266_b0070","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.112916","article-title":"Text line extraction from handwritten document images using GAN","volume":"140","author":"Kundu","year":"2020","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2022.118266_b0075","series-title":"Proc. ACPR","first-page":"136","article-title":"A new forged handwriting detection method based on Fourier spectral density and variation","author":"Kundu","year":"2019"},{"key":"10.1016\/j.eswa.2022.118266_b0080","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jvcir.2019.01.021","article-title":"A novel method of text line segmentation for historical document image of the uchen Tibetan","volume":"61","author":"Li","year":"2019","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"10.1016\/j.eswa.2022.118266_b0085","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s100320200071","article-title":"The IAM-database: An English Sentence Database for Off-line Handwriting Recognition","author":"Marti","year":"2002","journal-title":"IJDAR"},{"key":"10.1016\/j.eswa.2022.118266_b0090","series-title":"Proc. ICAPR","article-title":"An efficient line segmentation approach for handwritten Bangla document image","author":"Mullick","year":"2015"},{"key":"10.1016\/j.eswa.2022.118266_b0095","series-title":"Proc. ICFHR","first-page":"523","article-title":"New COLD feature based handwriting analysis for ethnicity\/nationality identification","author":"Nag","year":"2018"},{"key":"10.1016\/j.eswa.2022.118266_b0100","series-title":"Proc. ICPRAI","first-page":"93","article-title":"A new method for detecting altered text in document images","author":"Nandanwar","year":"2020"},{"key":"10.1016\/j.eswa.2022.118266_b0105","series-title":"Proc. ICPR","first-page":"3657","article-title":"Multi-gradient directional features for gender identification","author":"Navya","year":"2018"},{"key":"10.1016\/j.eswa.2022.118266_b0110","series-title":"Proc. ICIP","first-page":"3264","article-title":"Dense prediction for text line segmentation in handwritten document images","author":"Nhat","year":"2016"},{"key":"10.1016\/j.eswa.2022.118266_b0115","series-title":"Proc. IVCNZ","article-title":"A deep learning approach to handwritten text recognition in the presence of struck-out text","author":"Nisa","year":"2019"},{"key":"10.1016\/j.eswa.2022.118266_b0120","series-title":"Proc. WACV","first-page":"3511","article-title":"DeepErase: Weakly supervised ink artifact removal in document text images","author":"Qi","year":"2020"},{"key":"10.1016\/j.eswa.2022.118266_b0125","series-title":"Proc. ICFHR","first-page":"25","article-title":"Fourier coefficients for fraud handwritten document identification through age analysis","author":"Raghunandan","year":"2016"},{"key":"10.1016\/j.eswa.2022.118266_b0130","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s10032-018-0304-3","article-title":"Fully convolutional network with dilated convolutions for handwritten text line segmentation","author":"Renton","year":"2018","journal-title":"IJDAR"},{"key":"10.1016\/j.eswa.2022.118266_b0135","series-title":"Proc. ICDAR","first-page":"536","article-title":"Influence of text line segmentation in handwritten text recognition","author":"Romero","year":"2015"},{"key":"10.1016\/j.eswa.2022.118266_b0140","first-page":"161","article-title":"Word segmentation method for handwritten documents based on structural learning","author":"Ryu","year":"2015","journal-title":"IEEE. SPL"},{"key":"10.1016\/j.eswa.2022.118266_b0145","series-title":"Proc. ICPRAI","first-page":"83","article-title":"A new roadmap for evaluating descriptive handwritten answer script","author":"Shivakumara","year":"2019"},{"key":"10.1016\/j.eswa.2022.118266_b0150","series-title":"Proc. ICDAR","first-page":"1402","article-title":"ICDAR 2013 Handwriting Segmentation Contest","author":"Stamatopoulos","year":"2013"},{"key":"10.1016\/j.eswa.2022.118266_b0155","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1049\/iet-ipr.2017.0083","article-title":"Text line segmentation using a fully convolutional network in handwritten document images","author":"Vo","year":"2018","journal-title":"IET Image Processing"},{"key":"10.1016\/j.eswa.2022.118266_b0160","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1049\/iet-ipr.2016.0914","article-title":"Text segmentation using superpixel clustering","author":"Zhu","year":"2017","journal-title":"IET Image Processing"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422014075?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422014075?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T05:24:51Z","timestamp":1714541091000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417422014075"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":32,"alternative-id":["S0957417422014075"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2022.118266","relation":{},"ISSN":["0957-4174"],"issn-type":[{"type":"print","value":"0957-4174"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Text line segmentation from struck-out handwritten document images","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2022.118266","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"118266"}}