{"id":"https://openalex.org/W2898207785","doi":"https://doi.org/10.1109/icip.2019.8803348","title":"Improving Document Binarization Via Adversarial Noise-Texture Augmentation","display_name":"Improving Document Binarization Via Adversarial Noise-Texture Augmentation","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2898207785","doi":"https://doi.org/10.1109/icip.2019.8803348","mag":"2898207785"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.11120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038804855","display_name":"Ankan Kumar Bhunia","orcid":null},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["IN","SG"],"is_corresponding":false,"raw_author_name":"Ankan Kumar Bhunia","raw_affiliation_strings":["Jadavpur University, Kolkata, India","Nanyang Technological University, Singapore, Singapore","Jadavpur University - India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Jadavpur University - India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102727854","display_name":"Ayan Kumar Bhunia","orcid":"https://orcid.org/0000-0002-3725-7411"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["IN","SG"],"is_corresponding":false,"raw_author_name":"Ayan Kumar Bhunia","raw_affiliation_strings":["Jadavpur University, Kolkata, India","Nanyang Technological University, Singapore, Singapore","Nanyang Technological Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological Univ","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085178555","display_name":"Aneeshan Sain","orcid":"https://orcid.org/0000-0001-7789-3060"},"institutions":[{"id":"https://openalex.org/I163361683","display_name":"Cognizant (United States)","ror":"https://ror.org/036s7bw54","country_code":"US","type":"company","lineage":["https://openalex.org/I163361683"]},{"id":"https://openalex.org/I4210117535","display_name":"Cognizant (India)","ror":"https://ror.org/01x51st25","country_code":"IN","type":"company","lineage":["https://openalex.org/I163361683","https://openalex.org/I4210117535"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Aneeshan Sain","raw_affiliation_strings":["Cognizant Technology Solutions","Cognizant Technology Solutions India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognizant Technology Solutions","institution_ids":["https://openalex.org/I163361683"]},{"raw_affiliation_string":"Cognizant Technology Solutions India","institution_ids":["https://openalex.org/I4210117535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036208317","display_name":"Partha Pratim Roy","orcid":"https://orcid.org/0000-0002-5735-5254"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Pratim Roy","raw_affiliation_strings":["Indian Institute of Technology, Roorkee, Roorkee, India","[Indian Institute of Technology Roorkee, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"[Indian Institute of Technology Roorkee, India]","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.00269312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2721","last_page":"2725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition 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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition 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/T12357","display_name":"Digital Media Forensic Detection","score":0.9941999912261963,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9819999933242798,"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":0.8091984987258911},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7863259315490723},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7087902426719666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6982436180114746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6005672812461853},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.524573564529419},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.48378250002861023},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4795669913291931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.454571932554245},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44600430130958557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43070682883262634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09719866514205933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091984987258911},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7863259315490723},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7087902426719666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6982436180114746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6005672812461853},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.524573564529419},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.48378250002861023},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4795669913291931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.454571932554245},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44600430130958557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43070682883262634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09719866514205933},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2019.8803348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1810.11120","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11120","pdf_url":"https://arxiv.org/pdf/1810.11120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2898207785","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1810.11120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1810.11120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.11120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.11120","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11120","pdf_url":"https://arxiv.org/pdf/1810.11120","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898207785.pdf","grobid_xml":"https://content.openalex.org/works/W2898207785.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1520959026","https://openalex.org/W1600276254","https://openalex.org/W1901129140","https://openalex.org/W1976222657","https://openalex.org/W2016829658","https://openalex.org/W2038037829","https://openalex.org/W2071516577","https://openalex.org/W2085011756","https://openalex.org/W2091863778","https://openalex.org/W2128060444","https://openalex.org/W2133059825","https://openalex.org/W2142866846","https://openalex.org/W2156508493","https://openalex.org/W2161313214","https://openalex.org/W2170472910","https://openalex.org/W2475287302","https://openalex.org/W2751352153","https://openalex.org/W2784650115","https://openalex.org/W2915106267","https://openalex.org/W2915527102","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2964010994","https://openalex.org/W2964193438","https://openalex.org/W2964310544","https://openalex.org/W4247264488","https://openalex.org/W6639824700","https://openalex.org/W6644409973","https://openalex.org/W6683462387","https://openalex.org/W6683590716","https://openalex.org/W6742950717"],"related_works":["https://openalex.org/W3093919098","https://openalex.org/W2997024104","https://openalex.org/W2589751987","https://openalex.org/W2752739069","https://openalex.org/W2770784430","https://openalex.org/W3035990434","https://openalex.org/W2810569655","https://openalex.org/W2916744259","https://openalex.org/W1967509647","https://openalex.org/W2077493700","https://openalex.org/W2016519260","https://openalex.org/W1976459521","https://openalex.org/W2897399264","https://openalex.org/W3165107603","https://openalex.org/W2186497660","https://openalex.org/W2098287947","https://openalex.org/W2317505761","https://openalex.org/W2974917337","https://openalex.org/W2787175084","https://openalex.org/W2388152373"],"abstract_inverted_index":{"Binarization":[0,83],"of":[1,39,58,103,110,145],"degraded":[2,41],"document":[3,13,43,71],"images":[4,78],"is":[5,113],"an":[6,24],"elementary":[7],"step":[8],"in":[9,148],"most":[10,107],"problems":[11],"involving":[12],"image":[14,44],"analysis.":[15],"The":[16,106],"paper":[17],"re-visits":[18],"the":[19,36,53,59,69,75,88,94,100,142,157],"binarization":[20,72],"problem":[21],"by":[22],"introducing":[23],"adversarial":[25,101],"learning":[26],"approach.":[27],"We":[28],"construct":[29],"a":[30,40,46,82,131],"Texture":[31],"Augmentation":[32],"Network":[33],"that":[34,114,156],"transfers":[35],"texture":[37],"element":[38],"reference":[42],"to":[45,85],"clean":[47,89],"binary":[48],"image.":[49],"In":[50],"this":[51],"way,":[52],"network":[54,84],"creates":[55],"multiple":[56],"versions":[57],"same":[60],"textual":[61],"content":[62],"with":[63],"various":[64],"noisy":[65],"textures,":[66],"thus":[67,139],"enlarging":[68],"available":[70],"datasets.":[73,167],"Finally,":[74],"newly":[76],"generated":[77],"are":[79],"passed":[80],"through":[81],"get":[86],"back":[87],"version.":[90],"By":[91],"jointly":[92],"training":[93],"two":[95],"networks":[96],"we":[97],"can":[98],"increase":[99],"robustness":[102],"our":[104,111],"system.":[105],"significant":[108],"contribution":[109],"framework":[112],"it":[115,141],"does":[116],"not":[117],"require":[118],"any":[119],"paired":[120],"data":[121],"unlike":[122],"other":[123],"Deep":[124],"Learning-based":[125],"methods":[126],"[1],":[127],"[2],":[128],"[3].":[129],"Such":[130],"novel":[132],"approach":[133],"has":[134],"never":[135],"been":[136],"implemented":[137],"earlier":[138],"making":[140],"very":[143],"first":[144],"its":[146],"kind":[147],"Document":[149],"Image":[150],"Analysis":[151],"community.":[152],"Experimental":[153],"results":[154],"suggest":[155],"proposed":[158],"method":[159],"achieves":[160],"superior":[161],"performance":[162],"over":[163],"widely":[164],"used":[165],"DIBCO":[166]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}