{"id":"https://openalex.org/W2674070311","doi":"https://doi.org/10.2352/issn.2470-1173.2017.13.ipas-204","title":"A Robust Line Segmentation Algorithm for Arabic Printed Text with Diacritics","display_name":"A Robust Line Segmentation Algorithm for Arabic Printed Text with Diacritics","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2674070311","doi":"https://doi.org/10.2352/issn.2470-1173.2017.13.ipas-204","mag":"2674070311"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.13.ipas-204","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.13.ipas-204","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071320632","display_name":"Muna Ayesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muna Ayesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071494100","display_name":"Khader Mohammad","orcid":"https://orcid.org/0000-0003-0047-2107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khader Mohammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024123997","display_name":"Aziz Qaroush","orcid":"https://orcid.org/0000-0002-0274-4121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aziz Qaroush","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sos Agaian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087962420","display_name":"Mahdi Washha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdi Washha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5412,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75218201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":"13","first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.7168266773223877},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5753697156906128},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5457566976547241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5413326025009155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4930560290813446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48539555072784424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3718489408493042},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34062761068344116},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33855876326560974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18815988302230835},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13127848505973816},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.052773863077163696}],"concepts":[{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.7168266773223877},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5753697156906128},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5457566976547241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413326025009155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4930560290813446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48539555072784424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3718489408493042},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34062761068344116},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33855876326560974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18815988302230835},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13127848505973816},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.052773863077163696},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.13.ipas-204","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.13.ipas-204","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4249048193","https://openalex.org/W3000360420","https://openalex.org/W1931440630","https://openalex.org/W3172144307","https://openalex.org/W3184247917","https://openalex.org/W4235657630","https://openalex.org/W2331401504","https://openalex.org/W2620283452","https://openalex.org/W2123530708","https://openalex.org/W2038219622"],"abstract_inverted_index":{"Line":[0],"segmentation":[1,18,35],"performs":[2],"a":[3,12,28],"significant":[4],"stage":[5,19],"in":[6],"the":[7,16,22,48,53],"OCR":[8],"systems;":[9],"it":[10],"has":[11],"direct":[13],"effect":[14],"on":[15,46],"character":[17],"which":[20],"affects":[21],"recognition":[23],"rate.":[24],"In":[25],"this":[26],"paper":[27],"robust":[29],"algorithm":[30,57],"is":[31,58],"proposed":[32],"for":[33,36,60,86,93],"line":[34],"Arabic":[37],"printed":[38],"text":[39,87,94],"system":[40],"with":[41,77,82,95],"and":[42,52,64,66,90],"without":[43,88],"diacritics":[44,89],"based":[45],"finding":[47],"global":[49],"maximum":[50],"peak":[51],"baseline":[54],"detection.":[55],"The":[56],"tested":[59],"different":[61],"font":[62],"sizes":[63],"types":[65,74],"results":[67],"have":[68],"been":[69],"obtained":[70],"from":[71],"testing":[72],"5":[73],"of":[75,79],"fonts":[76],"total":[78],"43,055":[80],"lines":[81],"99.9":[83],"%":[84],"accuracy":[85,92],"99.5%":[91],"diacritics.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}