{"id":"https://openalex.org/W2516785045","doi":"https://doi.org/10.1109/iscc.2016.7543902","title":"MSER-based text detection and communication algorithm for autonomous vehicles","display_name":"MSER-based text detection and communication algorithm for autonomous vehicles","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2516785045","doi":"https://doi.org/10.1109/iscc.2016.7543902","mag":"2516785045"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2016.7543902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","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/A5025866975","display_name":"Abdelhamid Mammeri","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdelhamid Mammeri","raw_affiliation_strings":["DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012195474","display_name":"Azzedine Boukerche","orcid":"https://orcid.org/0000-0002-3851-9938"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Azzedine Boukerche","raw_affiliation_strings":["DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073571743","display_name":"El Hebri Khiari","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"El Hebri Khiari","raw_affiliation_strings":["DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6375,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87359551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"1218","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7725172638893127},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6942415237426758},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5967833995819092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5346810817718506},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5214135646820068},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5200547575950623},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5126389861106873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49123328924179077},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.42225217819213867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36198872327804565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35770532488822937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11267882585525513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10126930475234985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725172638893127},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6942415237426758},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5967833995819092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5346810817718506},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5214135646820068},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5200547575950623},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5126389861106873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49123328924179077},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.42225217819213867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36198872327804565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35770532488822937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11267882585525513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10126930475234985},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc.2016.7543902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2016.7543902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium on Computers and Communication (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W137651890","https://openalex.org/W1183861445","https://openalex.org/W1671591471","https://openalex.org/W1981266349","https://openalex.org/W1998042868","https://openalex.org/W2001642682","https://openalex.org/W2012112601","https://openalex.org/W2012860744","https://openalex.org/W2031081486","https://openalex.org/W2044465660","https://openalex.org/W2046054505","https://openalex.org/W2052320263","https://openalex.org/W2052533453","https://openalex.org/W2065042463","https://openalex.org/W2072857246","https://openalex.org/W2081328889","https://openalex.org/W2093429213","https://openalex.org/W2099563413","https://openalex.org/W2102819153","https://openalex.org/W2131163834","https://openalex.org/W2136730584","https://openalex.org/W2147237076","https://openalex.org/W2165065922","https://openalex.org/W6675279004"],"related_works":["https://openalex.org/W4251972423","https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W4382644535","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W1991513203","https://openalex.org/W3178467699"],"abstract_inverted_index":{"Text":[0],"detection":[1,30],"and":[2,63,110],"communication":[3],"in":[4,22,107,121],"the":[5,10,16,23,29,41,67,103,145],"automotive":[6,24],"context":[7],"has":[8],"attracted":[9],"attention":[11],"of":[12,31,33,43,75,105,129],"researchers":[13],"only":[14],"over":[15],"past":[17],"few":[18],"years.":[19],"Detecting":[20],"text":[21,32,136],"context,":[25],"as":[26,40,77],"opposed":[27],"to":[28,60,66,113,123],"printed":[34],"pages,":[35],"imposes":[36],"additional":[37],"challenges,":[38],"such":[39],"presence":[42],"obstacles,":[44],"blurry":[45],"frames,":[46],"speedy":[47],"vehicles,":[48],"etc.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,85],"present":[54],"an":[55],"in-vehicle":[56],"real-time":[57],"system":[58,70],"able":[59],"localize":[61],"texts":[62],"communicate":[64],"them":[65,112],"drivers.":[68],"Our":[69,150],"begins":[71,92],"by":[72,93],"localizing":[73],"regions":[74],"interest":[76],"a":[78,87,114,126,140,162],"Maximally":[79],"Stable":[80],"Extremal":[81],"Regions":[82],"(MSERs).":[83],"Afterwards,":[84],"apply":[86],"novel":[88],"filtering":[89],"stage":[90],"which":[91],"dividing":[94],"each":[95,108],"ROI":[96],"into":[97,139],"4":[98,100],"\u00d7":[99],"cells,":[101],"counting":[102],"number":[104,128],"edges":[106],"cell":[109],"comparing":[111],"well":[115],"defined":[116],"threshold.":[117],"This":[118],"is":[119],"performed":[120],"order":[122],"filter":[124],"out":[125],"considerable":[127],"unwanted":[130],"objects.":[131],"The":[132],"ROIs":[133],"that":[134],"contain":[135],"are":[137],"fed":[138],"recognition":[141],"module":[142],"based":[143],"on":[144],"Optical":[146],"Character":[147],"Recognizer":[148],"(OCR).":[149],"proposed":[151],"method":[152],"achieves":[153],"high":[154],"f-scores":[155],"when":[156],"tested":[157],"against":[158],"several":[159],"videos":[160],"containing":[161],"numerous":[163],"panels.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
