{"id":"https://openalex.org/W2877986430","doi":"https://doi.org/10.1109/ivcnz.2017.8402501","title":"Pincode detection using deep CNN for postal automation","display_name":"Pincode detection using deep CNN for postal automation","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2877986430","doi":"https://doi.org/10.1109/ivcnz.2017.8402501","mag":"2877986430"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2017.8402501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008754736","display_name":"Nabin Sharma","orcid":"https://orcid.org/0000-0003-0841-1245"},"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":"Nabin Sharma","raw_affiliation_strings":["University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086991254","display_name":"Abira Sengupta","orcid":null},"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":"Abira Sengupta","raw_affiliation_strings":["CVPR Unit, Indian Statistical Institute, Kolkata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVPR Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089273641","display_name":"Rabi Sharma","orcid":"https://orcid.org/0000-0002-6198-7924"},"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":"Rabi Sharma","raw_affiliation_strings":["CVPR Unit, Indian Statistical Institute, Kolkata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVPR Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","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, Kolkata"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CVPR Unit, Indian Statistical Institute, Kolkata","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","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, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9991000294685364,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7270113825798035},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.696453332901001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5456086993217468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.161746084690094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270113825798035},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.696453332901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5456086993217468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.161746084690094},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2017.8402501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2017.8402501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/133832","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/133832","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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1499438829","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1909199407","https://openalex.org/W1997092978","https://openalex.org/W2021189317","https://openalex.org/W2037227137","https://openalex.org/W2056298332","https://openalex.org/W2095789572","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2116128970","https://openalex.org/W2127992272","https://openalex.org/W2135923403","https://openalex.org/W2155893237","https://openalex.org/W2164027312","https://openalex.org/W2168327439","https://openalex.org/W2613718673","https://openalex.org/W2962835968","https://openalex.org/W2963173190","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6648737282"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Postal":[0],"automation":[1,20],"has":[2],"been":[3],"a":[4,9,18,23,97],"topic":[5],"of":[6,34,126,132],"research":[7],"over":[8],"decade.":[10],"The":[11,32,142],"challenges":[12],"and":[13,25,46,68,72,94,105,112,119,138,151],"complexity":[14],"involved":[15],"in":[16,65,96],"developing":[17],"postal":[19,36,70,98,130],"system":[21],"for":[22,62,81,117,140],"multi-lingual":[24,39],"multi-script":[26],"country":[27],"like":[28],"India":[29],"are":[30,79],"many-fold.":[31],"characteristics":[33],"Indian":[35,129],"documents":[37,131],"include:":[38],"behaviour,":[40],"unconstrained":[41],"handwritten":[42],"addresses,":[43],"structured/unstructured":[44],"envelopes":[45,71],"postcards,":[47],"being":[48],"among":[49],"the":[50,57,83],"most":[51],"challenging":[52],"aspects.":[53],"This":[54],"paper":[55],"examines":[56],"state-of-the-art":[58],"Deep":[59],"CNN":[60],"architectures":[61],"detecting":[63,82],"pin-code":[64],"both":[66],"structured":[67],"unstructured":[69],"documents.":[73],"Region-based":[74],"Convolutional":[75],"Neural":[76],"Networks":[77],"(RCNN)":[78],"used":[80,139],"various":[84],"significant":[85],"regions,":[86],"namely":[87,103],"Pin-code":[88],"blocks/regions,":[89],"destination":[90],"address":[91],"block,":[92],"seal":[93],"stamp":[95],"document.":[99],"Three":[100],"network":[101],"architectures,":[102],"Zeiler":[104],"Fergus":[106],"(ZF),":[107],"Visual":[108],"Geometry":[109],"Group":[110],"(VGG16),":[111],"VGG":[113],"M":[114],"were":[115,154],"considered":[116],"analysis":[118],"identifying":[120],"their":[121],"potential.":[122],"A":[123],"dataset":[124],"consisting":[125],"2300":[127],"multilingual":[128],"three":[133],"different":[134],"categories":[135],"was":[136],"developed":[137],"experiments.":[141],"VGG_M":[143],"architecture":[144],"with":[145],"Faster-RCNN":[146],"performed":[147],"better":[148],"than":[149],"others":[150],"promising":[152],"results":[153],"obtained.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}