{"id":"https://openalex.org/W2038863155","doi":"https://doi.org/10.1109/isda.2011.6121797","title":"Training tangent similarities for improving Ridgelet characterization of handwritten Arabic words","display_name":"Training tangent similarities for improving Ridgelet characterization of handwritten Arabic words","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2038863155","doi":"https://doi.org/10.1109/isda.2011.6121797","mag":"2038863155"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2011.6121797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-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/A5053417618","display_name":"Hassiba Nemmour","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"H. Nemmour","raw_affiliation_strings":["Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene USTHB, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]},{"raw_affiliation_string":"Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene USTHB, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065021759","display_name":"Youcef Chibani","orcid":"https://orcid.org/0000-0002-7957-7456"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Y. Chibani","raw_affiliation_strings":["Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene USTHB, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]},{"raw_affiliation_string":"Signal Processing Laboratory, University of Sciences and Technology Houari Boumediene USTHB, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157169809"],"apc_list":null,"apc_paid":null,"fwci":0.5235,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68535087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1050","last_page":"1055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9833999872207642,"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/computer-science","display_name":"Computer science","score":0.711179256439209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6289757490158081},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5970615148544312},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.49545490741729736},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.4908619523048401},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4395962953567505},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.43185722827911377},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4101283550262451},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3958309590816498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3202551007270813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24120649695396423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711179256439209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6289757490158081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5970615148544312},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.49545490741729736},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.4908619523048401},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4395962953567505},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.43185722827911377},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4101283550262451},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3958309590816498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3202551007270813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24120649695396423},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2011.6121797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2011.6121797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W175300340","https://openalex.org/W854322902","https://openalex.org/W1858799945","https://openalex.org/W1977597938","https://openalex.org/W1978474920","https://openalex.org/W1989045384","https://openalex.org/W2006309155","https://openalex.org/W2007769114","https://openalex.org/W2015421919","https://openalex.org/W2064838583","https://openalex.org/W2074066036","https://openalex.org/W2098149794","https://openalex.org/W2099322038","https://openalex.org/W2116702966","https://openalex.org/W2127551029","https://openalex.org/W2128732469","https://openalex.org/W2133552271","https://openalex.org/W2137291015","https://openalex.org/W2137449863","https://openalex.org/W2139212933","https://openalex.org/W2147345686","https://openalex.org/W2156909104","https://openalex.org/W2159737176","https://openalex.org/W2162395775","https://openalex.org/W2172000360","https://openalex.org/W2315868700","https://openalex.org/W6680112165"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W62490179","https://openalex.org/W2954004777","https://openalex.org/W2951102138","https://openalex.org/W1997182898"],"abstract_inverted_index":{"In":[0,70],"the":[1,6,38,53,67,74,81,96,119,124],"present":[2],"work,":[3],"we":[4],"investigate":[5],"combination":[7,106],"of":[8,26,62,107],"Ridgelet":[9,75,100,111],"transform":[10],"and":[11,110],"tangent":[12,34,90,108],"similarities":[13,35,91,109],"for":[14,22,52,84],"handwritten":[15,27],"Arabic":[16],"word":[17],"recognition.":[18],"Ridgelets":[19],"are":[20,31,57,92],"used":[21,51],"generating":[23],"pertinent":[24],"features":[25,30,112],"words.":[28],"These":[29],"handled":[32],"through":[33],"to":[36,80,94],"enforce":[37],"discrimination":[39],"power":[40],"by":[41],"using":[42],"a":[43,60,71,114],"priori":[44],"knowledge.":[45],"The":[46,105],"One-Against-All":[47],"SVMs":[48],"implementation":[49],"is":[50,77],"classification":[54],"stage.":[55],"Experiments":[56],"conducted":[58],"on":[59],"vocabulary":[61],"twenty-four":[63],"words":[64],"extracted":[65],"from":[66],"IFN/ENIT":[68],"database.":[69],"first":[72],"step,":[73],"performance":[76],"assessed":[78],"comparatively":[79],"results":[82],"obtained":[83],"uniform":[85],"grid":[86],"(zoning)":[87],"features.":[88,101],"Thenafter,":[89],"computed":[93],"put":[95],"variability":[97],"knowledge":[98],"into":[99],"Results":[102],"showed":[103],"that":[104],"yields":[113],"robust":[115],"descriptor,":[116],"which":[117],"improves":[118],"recognition":[120],"accuracy":[121],"while":[122],"accelerating":[123],"runtime.":[125]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
