{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:51:20Z","timestamp":1761598280871,"version":"3.37.3"},"reference-count":33,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T00:00:00Z","timestamp":1606953600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002383","name":"King Saud University","doi-asserted-by":"publisher","award":["RSP-2020\/184"],"award-info":[{"award-number":["RSP-2020\/184"]}],"id":[{"id":"10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2020,12,3]]},"abstract":"<jats:p>Segmentation of cursive text remains the challenging phase in the recognition of text. In OCR systems, the recognition accuracy of text is directly dependent on the quality of segmentation. In cursive text OCR systems, the segmentation of handwritten Urdu language text is a complex task because of the context sensitivity and diagonality of the text. This paper presents a line segmentation algorithm for Urdu handwritten and printed text and subsequently to ligatures. In the proposed technique, the counting pixel approach is employed for modified header and baseline detection, in which the system first removes the skewness of the text page, and then the page is converted into lines and ligatures. The algorithm is evaluated on manually generated Urdu printed and handwritten dataset. The proposed algorithm is tested separately on handwritten and printed text, showing 96.7% and 98.3% line accuracy, respectively. Furthermore, the proposed line segmentation algorithm correctly extracts the lines when tested on Arabic text.<\/jats:p>","DOI":"10.1155\/2020\/8866041","type":"journal-article","created":{"date-parts":[[2020,12,4]],"date-time":"2020-12-04T20:37:55Z","timestamp":1607114275000},"page":"1-12","source":"Crossref","is-referenced-by-count":7,"title":["An Efficient Skewed Line Segmentation Technique for Cursive Script OCR"],"prefix":"10.1155","volume":"2020","author":[{"given":"Saud","family":"Malik","sequence":"first","affiliation":[{"name":"COMSATS University Islamabad, Attock Campus, Islamabad 43600, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahthasham","family":"Sajid","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Faculty of ICT, BUITEMS, Quetta, Baluchistan 87300, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3576-8365","authenticated-orcid":true,"given":"Arshad","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Department of IT and Computer Science, Pak-Austria Fachhochschule: Institute of Applied Sciences & Technology, Khanpur Road, Mang, Haripur 22620, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8253-9709","authenticated-orcid":true,"given":"Ahmad","family":"Almogren","sequence":"additional","affiliation":[{"name":"Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bashir","family":"Hayat","sequence":"additional","affiliation":[{"name":"Institute of Management Sciences, Peshawar 25000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Awais","sequence":"additional","affiliation":[{"name":"School of Computing and Communications, Lancaster University, Bailrigg, Lancaster LA1 4YW, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyong Hoon","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Computer Science & Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","article-title":"An efficient segmentation technique for Urdu optical character recognizer (OCR)","volume-title":"Future of Information and Communication Conference","author":"S. 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