{"id":"https://openalex.org/W2556216645","doi":"https://doi.org/10.1109/ijcnn.2016.7727648","title":"A brief review of document image retrieval methods: Recent advances","display_name":"A brief review of document image retrieval methods: Recent advances","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2556216645","doi":"https://doi.org/10.1109/ijcnn.2016.7727648","mag":"2556216645"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/339090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091071570","display_name":"Fahimeh Alaei","orcid":"https://orcid.org/0000-0002-3483-3882"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Fahimeh Alaei","raw_affiliation_strings":["School of lCT, Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"School of lCT, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011881826","display_name":"Alireza Alaei","orcid":"https://orcid.org/0000-0003-1669-2606"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Alaei","raw_affiliation_strings":["School of lCT, Griffith University, Australia"],"affiliations":[{"raw_affiliation_string":"School of lCT, Griffith University, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068803496","display_name":"Umapada Pal","orcid":"https://orcid.org/0000-0002-5426-2618"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umapada Pal","raw_affiliation_strings":["CVPR Unit, Indian Statistical Institute, India"],"affiliations":[{"raw_affiliation_string":"CVPR Unit, Indian Statistical Institute, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091071570"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73919847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"3500","last_page":"3507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9977999925613403,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9969000220298767,"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":0.8287779092788696},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7444531917572021},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5895499587059021},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.5207933783531189},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.5097064971923828},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.5070126056671143},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.4905814230442047},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4904446303844452},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4900439977645874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.459328830242157},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.44725918769836426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3852725625038147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226168751716614},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.22769147157669067},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.07955530285835266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287779092788696},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7444531917572021},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5895499587059021},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.5207933783531189},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.5097064971923828},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.5070126056671143},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.4905814230442047},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4904446303844452},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4900439977645874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.459328830242157},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.44725918769836426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3852725625038147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226168751716614},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.22769147157669067},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.07955530285835266},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/339090","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/339090","pdf_url":"http://hdl.handle.net/10072/339090","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},{"id":"pmh:oai:epubs.scu.edu.au:bus_tourism_pubs-2003","is_oa":false,"landing_page_url":"https://epubs.scu.edu.au/bus_tourism_pubs/986","pdf_url":null,"source":{"id":"https://openalex.org/S4377196949","display_name":"Southern Cross Research Portal (Southern Cross University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66809481","host_organization_name":"Southern Cross University","host_organization_lineage":["https://openalex.org/I66809481"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"School of Business and Tourism","raw_type":"presentation"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/93223","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/93223","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/339090","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/339090","pdf_url":"http://hdl.handle.net/10072/339090","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2556216645.pdf","grobid_xml":"https://content.openalex.org/works/W2556216645.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W10890981","https://openalex.org/W40026635","https://openalex.org/W205301110","https://openalex.org/W1489251870","https://openalex.org/W1496011054","https://openalex.org/W1510710711","https://openalex.org/W1518968095","https://openalex.org/W1529012620","https://openalex.org/W1566408939","https://openalex.org/W1574733104","https://openalex.org/W1727881885","https://openalex.org/W1731296920","https://openalex.org/W1965621795","https://openalex.org/W1971310464","https://openalex.org/W1977045674","https://openalex.org/W1996226495","https://openalex.org/W2000275737","https://openalex.org/W2004665841","https://openalex.org/W2005090476","https://openalex.org/W2005860868","https://openalex.org/W2008297189","https://openalex.org/W2012689760","https://openalex.org/W2022650584","https://openalex.org/W2028180100","https://openalex.org/W2028571532","https://openalex.org/W2028958034","https://openalex.org/W2029949856","https://openalex.org/W2044465660","https://openalex.org/W2054323434","https://openalex.org/W2056472112","https://openalex.org/W2062310461","https://openalex.org/W2062755747","https://openalex.org/W2065638089","https://openalex.org/W2067887280","https://openalex.org/W2079017068","https://openalex.org/W2082453965","https://openalex.org/W2087875709","https://openalex.org/W2087914438","https://openalex.org/W2095962836","https://openalex.org/W2096928212","https://openalex.org/W2104309475","https://openalex.org/W2107950441","https://openalex.org/W2109560267","https://openalex.org/W2111676986","https://openalex.org/W2125318232","https://openalex.org/W2126406293","https://openalex.org/W2127133046","https://openalex.org/W2128119911","https://openalex.org/W2128349767","https://openalex.org/W2130723172","https://openalex.org/W2132072045","https://openalex.org/W2135815319","https://openalex.org/W2140238964","https://openalex.org/W2143307633","https://openalex.org/W2143373361","https://openalex.org/W2152736061","https://openalex.org/W2156301828","https://openalex.org/W2158102958","https://openalex.org/W2162060842","https://openalex.org/W2162214576","https://openalex.org/W2162506249","https://openalex.org/W2163113711","https://openalex.org/W2165205722","https://openalex.org/W2165259513","https://openalex.org/W2170288539","https://openalex.org/W2327094203","https://openalex.org/W4244917658","https://openalex.org/W6608326786","https://openalex.org/W6637855997","https://openalex.org/W6644512209","https://openalex.org/W6683602510","https://openalex.org/W6701939507"],"related_works":["https://openalex.org/W2181567243","https://openalex.org/W2559984738","https://openalex.org/W2610978234","https://openalex.org/W4238415164","https://openalex.org/W2540290361","https://openalex.org/W2039135287","https://openalex.org/W2157432648","https://openalex.org/W4377821420","https://openalex.org/W1502347913","https://openalex.org/W2356293009"],"abstract_inverted_index":{"Due":[0],"to":[1,14,38,88],"the":[2,9,53,61,89],"rapid":[3],"increase":[4],"of":[5,11,23,60],"different":[6],"digitized":[7],"documents,":[8],"development":[10],"a":[12,20,80],"system":[13],"automatically":[15],"retrieve":[16],"document":[17,27,50,68],"images":[18,28,51],"from":[19,79],"large":[21],"collection":[22],"structured":[24],"and":[25,42,47],"unstructured":[26],"is":[29],"in":[30,52],"high":[31],"demand.":[32],"Many":[33],"techniques":[34],"have":[35,64],"been":[36,65,76,86],"developed":[37],"provide":[39],"an":[40,58],"efficient":[41],"effective":[43],"way":[44],"for":[45,67],"retrieving":[46],"organizing":[48],"these":[49],"literature.":[54],"This":[55],"paper":[56],"provides":[57],"overview":[59],"methods":[62,92],"which":[63],"applied":[66],"image":[69],"retrieval":[70],"over":[71],"recent":[72],"years.":[73],"It":[74],"has":[75,85],"found":[77],"that":[78],"textual":[81],"perspective,":[82],"more":[83],"attention":[84],"paid":[87],"feature":[90],"extraction":[91],"without":[93],"using":[94],"OCR.":[95]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
