{"id":"https://openalex.org/W2426148745","doi":"https://doi.org/10.1109/isda.2015.7489243","title":"Scene text detection images with pyramid image and MSER enhanced","display_name":"Scene text detection images with pyramid image and MSER enhanced","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2426148745","doi":"https://doi.org/10.1109/isda.2015.7489243","mag":"2426148745"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2015.7489243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","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/A5058396935","display_name":"Houssem Turki","orcid":"https://orcid.org/0009-0001-8472-3622"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Houssem Turki","raw_affiliation_strings":["ENIS, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064452305","display_name":"Mohamed Ben Halima","orcid":"https://orcid.org/0000-0002-3224-2552"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ben Halima","raw_affiliation_strings":["ENIS, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["ENIS, University of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"ENIS, University of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058396935"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76734448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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":0.998199999332428,"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":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7887008190155029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728506326675415},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6566799879074097},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6494112014770508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.646195113658905},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5571983456611633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5423198342323303},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5350953340530396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5267964005470276},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.49982428550720215},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4927695095539093},{"id":"https://openalex.org/keywords/font","display_name":"Font","score":0.4856628179550171},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46240881085395813},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4620610475540161},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4310625493526459},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text detection","score":0.4201522767543793},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29537975788116455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2177082598209381}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7887008190155029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728506326675415},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6566799879074097},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6494112014770508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.646195113658905},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5571983456611633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5423198342323303},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5350953340530396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5267964005470276},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.49982428550720215},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4927695095539093},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.4856628179550171},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46240881085395813},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4620610475540161},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4310625493526459},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.4201522767543793},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29537975788116455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2177082598209381},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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:10.1109/isda.2015.7489243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1533873637","https://openalex.org/W1851269160","https://openalex.org/W1968448651","https://openalex.org/W2001626771","https://openalex.org/W2021345827","https://openalex.org/W2023415694","https://openalex.org/W2053155586","https://openalex.org/W2056435187","https://openalex.org/W2061802763","https://openalex.org/W2083868436","https://openalex.org/W2084594934","https://openalex.org/W2106389822","https://openalex.org/W2107996860","https://openalex.org/W2114668889","https://openalex.org/W2116901249","https://openalex.org/W2133059825","https://openalex.org/W2142159465","https://openalex.org/W2143712802","https://openalex.org/W2147245593","https://openalex.org/W2152878602","https://openalex.org/W2157965482","https://openalex.org/W2161969291","https://openalex.org/W2166949156","https://openalex.org/W2199687369","https://openalex.org/W6676002789","https://openalex.org/W6684363135"],"related_works":["https://openalex.org/W2147687867","https://openalex.org/W2582695981","https://openalex.org/W2496907786","https://openalex.org/W2483185727","https://openalex.org/W2612325988","https://openalex.org/W2490611030","https://openalex.org/W3022607756","https://openalex.org/W2043030904","https://openalex.org/W2327192489","https://openalex.org/W2487016776"],"abstract_inverted_index":{"Text":[0],"detection":[1,110,195],"from":[2],"images":[3],"in":[4,29,70,101],"natural":[5],"scene":[6,193],"is":[7,78,83,107],"one":[8],"of":[9,23,26,37,44,63,67,111,140,169,181],"the":[10,24,27,30,38,61,64,80,86,88,122,138,149,199,207],"most":[11],"active":[12],"research":[13],"areas.":[14],"It":[15],"still":[16],"remains":[17],"a":[18,56,76,179],"challenge":[19],"for":[20],"researchers":[21],"because":[22],"complexity":[25],"image":[28,100],"wild":[31],"specifically":[32],"their":[33],"background.":[34,90],"The":[35,104,161,184],"state":[36],"text":[39,68,170,194],"presents":[40,55],"also":[41],"different":[42,102],"problems":[43],"localization":[45,177],"such":[46],"as":[47],"size,":[48],"font,":[49],"color":[50],"and":[51,95,134,158,198],"orientation.":[52],"This":[53,73],"paper":[54],"new":[57],"method":[58,186],"based":[59,120,153],"on":[60,121,154,190],"location":[62],"concentration":[65],"areas":[66],"candidates":[69],"first":[71],"step.":[72],"step":[74,106],"allows":[75],"mask":[77],"applied,":[79],"major":[81],"objective":[82],"to":[84,108,128,136],"filter":[85],"maximum":[87],"complex":[89],"We":[91],"use":[92],"Otsu":[93],"technique":[94],"edge":[96],"enhancement":[97],"by":[98,114,148,166],"pyramid":[99],"scales.":[103],"second":[105],"fine":[109],"candidate":[112,151],"characters":[113],"maximally":[115],"stable":[116],"extremal":[117],"regions":[118],"(MSER)":[119],"luminance":[123],"that":[124],"gives":[125],"more":[126],"meaning":[127],"information":[129],"merged":[130],"with":[131,206],"enhanced":[132],"edges":[133],"connected":[135],"surpass":[137],"limits":[139],"MSER.":[141],"Then":[142],"non-text":[143],"components":[144],"are":[145,164],"filtered":[146],"out":[147],"character":[150],"classification":[152],"DTW":[155],"using":[156],"SIFT":[157],"HOG":[159],"features.":[160],"false":[162],"positives":[163],"eliminated":[165],"geometrical":[167],"properties":[168],"blocks.":[171],"Finally":[172],"we":[173],"apply":[174],"boundary":[175],"box":[176],"after":[178],"stage":[180],"word":[182],"grouping.":[183],"proposed":[185],"has":[187],"been":[188],"evaluated":[189],"ICDAR":[191],"2013":[192],"competition":[196],"dataset":[197],"encouraging":[200],"experiments":[201],"results":[202],"can":[203],"be":[204],"compared":[205],"latest":[208],"published":[209],"algorithms.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}