{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:18:31Z","timestamp":1759133911612},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030329587"},{"type":"electronic","value":"9783030329594"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-32959-4_13","type":"book-chapter","created":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T10:03:55Z","timestamp":1570183435000},"page":"181-193","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Skew Correction and Text Line Extraction of Arabic Historical Documents"],"prefix":"10.1007","author":[{"given":"Abdelhay","family":"Zoizou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arsalane","family":"Zarghili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilham","family":"Chaker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,2]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.07.003","author":"A Zoizou","year":"2018","unstructured":"Zoizou, A., Zarghili, A., Chaker, I.: A new hybrid method for Arabic multi-font text segmentation, and a reference corpus construction. J. King. Saud. Univ. \u2013 Comput. Inf. Sci. (2018). \n                    https:\/\/doi.org\/10.1016\/j.jksuci.2018.07.003","journal-title":"J. King. Saud. Univ. \u2013 Comput. Inf. Sci."},{"key":"13_CR2","doi-asserted-by":"publisher","DOI":"10.5772\/15923","author":"V Katsouros","year":"2012","unstructured":"Katsouros, V., Papavassiliou, V.: Segmentation of handwritten document images into text lines. Image Segmentation (2012). \n                    https:\/\/doi.org\/10.5772\/15923","journal-title":"Image Segmentation"},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.patrec.2013.07.007","volume":"35","author":"R Saabni","year":"2014","unstructured":"Saabni, R., Asi, A., El-Sana, J.: Text line extraction for historical document images. Pattern Recognit. Lett. 35, 23\u201333 (2014). \n                    https:\/\/doi.org\/10.1016\/j.patrec.2013.07.007","journal-title":"Pattern Recognit. Lett."},{"key":"13_CR4","doi-asserted-by":"publisher","unstructured":"Zahour, A., Taconet, B., Mercy, P., Ramdane, S.: Arabic hand-written text-line extraction. In: Proceedings International Conference Document Analysis Recognition, ICDAR 2001-January, pp. 281\u2013285 (2001). \n                    https:\/\/doi.org\/10.1109\/ICDAR.2001.953799","DOI":"10.1109\/ICDAR.2001.953799"},{"key":"13_CR5","doi-asserted-by":"publisher","unstructured":"Pal, U., Datta, S.: Segmentation of Bangla unconstrained handwritten text. In: Proceedings International Conference Document Analysis Recognition, ICDAR 2003-January, pp. 1128\u20131132 (2003). \n                    https:\/\/doi.org\/10.1109\/ICDAR.2003.1227832","DOI":"10.1109\/ICDAR.2003.1227832"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Boussellaa, W., Zahour, A., Elabed, H., et al.: Unsupervised block covering analysis for text-line segmentation of Arabic ancient handwritten document images. In: Proceedings - International Conference Pattern Recognition, pp. 1929\u20131932 (2010). \n                    https:\/\/doi.org\/10.1109\/ICPR.2010.475","DOI":"10.1109\/ICPR.2010.475"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"Garz, A., Fischer, A., Bunke, H., Ingold, R.: A binarization-free clustering approach to segment curved text lines in historical manuscripts. In: Proceedings International Conference Document Analysis Recognition, ICDAR 1290\u20131294 (2013). \n                    https:\/\/doi.org\/10.1109\/ICDAR.2013.261","DOI":"10.1109\/ICDAR.2013.261"},{"key":"13_CR8","doi-asserted-by":"publisher","unstructured":"Garz, A., Fischer, A., Sablatnig, R., Bunke, H.: Binarization-free text line segmentation for historical documents based on interest point clustering. In: Proceedings- 10th IAPR International Work Document Analysis System DAS 2012, pp. 95\u201399 (2012). \n                    https:\/\/doi.org\/10.1109\/DAS.2012.23","DOI":"10.1109\/DAS.2012.23"},{"key":"13_CR9","doi-asserted-by":"publisher","unstructured":"Yin, F., Liu, C.L.: Handwritten text line extraction based on minimum spanning tree clustering. In: Proceedings 2007 International Conference Wavelet Analysis Pattern Recognition, ICWAPR 2007 3, pp. 1123\u20131128 (2008). \n                    https:\/\/doi.org\/10.1109\/ICWAPR.2007.4421601","DOI":"10.1109\/ICWAPR.2007.4421601"},{"key":"13_CR10","doi-asserted-by":"publisher","unstructured":"Shi, Z., Setlur, S., Govindaraju, V.: Text extraction from gray scale historical document images using adaptive local connectivity map. In: Proceedings International Conference Document Analysis Recognition, ICDAR 2005, pp. 794\u2013798 (2005). \n                    https:\/\/doi.org\/10.1109\/ICDAR.2005.229","DOI":"10.1109\/ICDAR.2005.229"},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1109\/TIP.2011.2166972","volume":"21","author":"HL Koo","year":"2012","unstructured":"Koo, H.L., Cho, N.I.: Text-line extraction in handwritten Chinese documents based on an energy minimization framework. IEEE Trans. Image Process. 21, 1169\u20131175 (2012). \n                    https:\/\/doi.org\/10.1109\/TIP.2011.2166972","journal-title":"IEEE Trans. Image Process."},{"key":"13_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/978-3-319-68130-6_6","volume-title":"Digital Libraries and Archives","author":"S Capobianco","year":"2017","unstructured":"Capobianco, S., Marinai, S.: Text line extraction in handwritten historical documents. In: Grana, C., Baraldi, L. (eds.) IRCDL 2017. CCIS, vol. 733, pp. 68\u201379. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-68130-6_6"},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"75340B","DOI":"10.1117\/12.839518","volume":"7534","author":"N Ouwayed","year":"2009","unstructured":"Ouwayed, N., Bela\u00efd, A., Auger, F.: General text line extraction approach based on locally orientation estimation. Doc. Recognit. Retr. XVII 7534, 75340B (2009). \n                    https:\/\/doi.org\/10.1117\/12.839518","journal-title":"Doc. Recognit. Retr. XVII"},{"key":"13_CR14","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1109\/34.506792","volume":"18","author":"RG Casey","year":"1996","unstructured":"Casey, R.G., Lecolinet, E.: Survey of methods and STR in character segmentation. IEEE Anal. 18, 690\u2013706 (1996). \n                    https:\/\/doi.org\/10.1109\/34.506792","journal-title":"IEEE Anal."},{"key":"13_CR15","doi-asserted-by":"publisher","unstructured":"Likforman-Sulem, L., Hanimyan, A., Faure, C.: A hough based algorithm for extracting text lines in handwritten documents. In: Proceedings International Conference Document Analysis Recognition, ICDAR 2, pp. 774\u2013777 (1995). \n                    https:\/\/doi.org\/10.1109\/ICDAR.1995.602017","DOI":"10.1109\/ICDAR.1995.602017"},{"key":"13_CR16","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1147\/rd.266.0647","volume":"26","author":"KY Wong","year":"2010","unstructured":"Wong, K.Y., Casey, R.G., Wahl, F.M.: Document analysis system. IBM J. Res. Dev. 26, 647\u2013656 (2010). \n                    https:\/\/doi.org\/10.1147\/rd.266.0647","journal-title":"IBM J. Res. Dev."},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1021\/ac60214a047","volume":"2","author":"A Savitzky","year":"1964","unstructured":"Savitzky, A., Golay, M.J.E.: Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 2, 1627\u20131639 (1964). \n                    https:\/\/doi.org\/10.1021\/ac60214a047","journal-title":"Anal. Chem."}],"container-title":["Communications in Computer and Information Science","Arabic Language Processing: From Theory to Practice"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32959-4_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T10:10:20Z","timestamp":1570183820000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32959-4_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030329587","9783030329594"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32959-4_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICALP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Arabic Language Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nancy","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aicalp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icalp2019.loria.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","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":"21","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":"55% - 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":"3,4","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":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","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)"}}]}}