{"id":"https://openalex.org/W2107311188","doi":"https://doi.org/10.1109/icpr.2002.1047861","title":"Content analysis in document images: a scale space approach","display_name":"Content analysis in document images: a scale space approach","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2107311188","doi":"https://doi.org/10.1109/icpr.2002.1047861","mag":"2107311188"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5086369117","display_name":"Y. Fataicha","orcid":null},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Y. Fataicha","raw_affiliation_strings":["INCOGNITO laboratory, Universit\u00e9 de Montr\u00e9al, Montreal, QUE, Canada","LIVIA Lab., Ecole de Technologie Superieure, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"INCOGNITO laboratory, Universit\u00e9 de Montr\u00e9al, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"LIVIA Lab., Ecole de Technologie Superieure, Montreal, Que., Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015410834","display_name":"Mohamed Cheriet","orcid":"https://orcid.org/0000-0002-5246-7265"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Cheriet","raw_affiliation_strings":["CENPARMI, Concordia University, Montreal, QUE, Canada","LIVIA Lab., Ecole de Technologie Superieure, Montreal, Que., Canada"],"affiliations":[{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"LIVIA Lab., Ecole de Technologie Superieure, Montreal, Que., Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018977183","display_name":"Jian\u2010Yun Nie","orcid":"https://orcid.org/0000-0003-1556-3335"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J.Y. Nie","raw_affiliation_strings":["INCOGNITO laboratory, Universit\u00e9 de Montr\u00e9al, Montreal, QUE, Canada","UNIVERSITE DE MONTREAL"],"affiliations":[{"raw_affiliation_string":"INCOGNITO laboratory, Universit\u00e9 de Montr\u00e9al, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"UNIVERSITE DE MONTREAL","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059479627","display_name":"Ching Y. Suen","orcid":"https://orcid.org/0000-0003-1209-7631"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"C.Y. Suen","raw_affiliation_strings":["CENPARMI, Concordia University, Montreal, QUE, Canada","Concordia University,"],"affiliations":[{"raw_affiliation_string":"CENPARMI, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia University,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086369117"],"corresponding_institution_ids":["https://openalex.org/I70931966","https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.8083,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74675325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"335","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9948999881744385,"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":0.7426291704177856},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6692704558372498},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6437718272209167},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6029226779937744},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.568011462688446},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5622011423110962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.494582861661911},{"id":"https://openalex.org/keywords/document-layout-analysis","display_name":"Document layout analysis","score":0.4673258364200592},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4591933488845825},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.45668187737464905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4485163688659668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4100077152252197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3655584454536438},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3563670516014099},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3344072997570038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14845579862594604},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10305458307266235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7426291704177856},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6692704558372498},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6437718272209167},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6029226779937744},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.568011462688446},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5622011423110962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.494582861661911},{"id":"https://openalex.org/C72773152","wikidata":"https://www.wikidata.org/wiki/Q5287629","display_name":"Document layout analysis","level":3,"score":0.4673258364200592},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4591933488845825},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.45668187737464905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4485163688659668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4100077152252197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3655584454536438},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3563670516014099},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3344072997570038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14845579862594604},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10305458307266235},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1047861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.1564","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.1564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iro.umontreal.ca/~nie/Publication/fataicha-ICPRfin.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W142080561","https://openalex.org/W1973976434","https://openalex.org/W2032227036","https://openalex.org/W2033661102","https://openalex.org/W2090720860","https://openalex.org/W2112328181","https://openalex.org/W2121906002","https://openalex.org/W2130283001","https://openalex.org/W2144209937","https://openalex.org/W2165992492","https://openalex.org/W4237061796","https://openalex.org/W4285719527","https://openalex.org/W6605756960"],"related_works":["https://openalex.org/W2130283001","https://openalex.org/W2886783053","https://openalex.org/W1510022078","https://openalex.org/W2104427878","https://openalex.org/W2113591283","https://openalex.org/W2392790321","https://openalex.org/W2995727521","https://openalex.org/W3125484134","https://openalex.org/W2107311188","https://openalex.org/W4241907806"],"abstract_inverted_index":{"With":[0],"the":[1,36,87,92,109],"growing":[2],"interest":[3],"in":[4,83],"automatic":[5],"transformation":[6],"of":[7,71],"paper":[8,75],"document":[9,41,89],"to":[10,85,100],"its":[11,53],"electronic":[12],"version,":[13],"geometric":[14],"and":[15,62,123],"logical":[16],"structures":[17],"have":[18],"become":[19],"an":[20,102],"active":[21],"research":[22],"area":[23],"for":[24,114],"a":[25,65,77],"decade.":[26],"Nowadays,":[27],"kernel":[28],"scale":[29,49,81,95,110],"space":[30,50,82,96],"has":[31,52],"been":[32],"widely":[33],"adopted":[34],"as":[35],"most":[37],"promising":[38],"multi-scale":[39],"image":[40,103],"analysis":[42],"method.":[43],"Yet":[44],"still,":[45],"traditional":[46],"methods":[47],"using":[48,80],"approach":[51,79],"limitations:":[54],"they":[55,63],"are":[56],"useful":[57],"mostly":[58],"on":[59,128],"character":[60],"extraction":[61],"carry":[64],"large":[66],"computational":[67],"load.":[68],"In":[69,91],"view":[70],"these":[72],"limitations,":[73],"this":[74],"proposes":[76],"new":[78],"order":[84],"analyse":[86],"composite":[88],"content.":[90],"proposed":[93],"method,":[94],"transform":[97],"is":[98,112],"used":[99,113],"decompose":[101],"into":[104],"different":[105],"scaled":[106],"objects":[107],"where":[108],"value":[111],"detecting":[115],"progressively":[116],"finer":[117],"objects:":[118],"text,":[119],"line":[120],"drawing,":[121],"logo,":[122],"image,":[124],"with":[125],"encouraging":[126],"results":[127],"real-life":[129],"data.":[130]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}