{"id":"https://openalex.org/W3023310072","doi":"https://doi.org/10.1109/access.2020.2990966","title":"Finger Vein Image Inpainting With Gabor Texture Constraints","display_name":"Finger Vein Image Inpainting With Gabor Texture Constraints","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023310072","doi":"https://doi.org/10.1109/access.2020.2990966","mag":"3023310072"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2990966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079807.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102020226","display_name":"Hang Yang","orcid":"https://orcid.org/0000-0002-8023-4661"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yang","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8023-4661","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031134747","display_name":"Lei Shen","orcid":"https://orcid.org/0000-0003-2736-3306"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shen","raw_affiliation_strings":["College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2736-3306","affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021827481","display_name":"Yudong Yao","orcid":"https://orcid.org/0000-0003-3868-0593"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Dong Yao","raw_affiliation_strings":["Stevens Institute of Technology, Hoboken, USA"],"raw_orcid":"https://orcid.org/0000-0003-3868-0593","affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, Hoboken, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031877375","display_name":"Huaxia Wang","orcid":"https://orcid.org/0000-0002-3273-6309"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaxia Wang","raw_affiliation_strings":["College of Engineering, Architecture and Technology (CEAT), Oklahoma State University, Stillwater, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Architecture and Technology (CEAT), Oklahoma State University, Stillwater, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102982800","display_name":"Guodong Zhao","orcid":"https://orcid.org/0000-0002-9016-6121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guodong Zhao","raw_affiliation_strings":["Top Glory Tech Limited Company, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Top Glory Tech Limited Company, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8909,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72945851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"83041","last_page":"83051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9807000160217285,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9794999957084656,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8274489641189575},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.7537230253219604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7356056571006775},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6455682516098022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348508596420288},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5953381657600403},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5523576736450195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5164768695831299},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4984109401702881},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48375535011291504},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4803817868232727},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.44813403487205505},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4380052089691162},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3745138645172119},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25197866559028625}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8274489641189575},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7537230253219604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7356056571006775},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6455682516098022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348508596420288},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5953381657600403},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5523576736450195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5164768695831299},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4984109401702881},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48375535011291504},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4803817868232727},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.44813403487205505},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4380052089691162},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3745138645172119},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25197866559028625},{"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":2,"locations":[{"id":"doi:10.1109/access.2020.2990966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:69cce9b8a2974ae18dcf81353640af28","is_oa":true,"landing_page_url":"https://doaj.org/article/69cce9b8a2974ae18dcf81353640af28","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 83041-83051 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2990966","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2990966","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09079807.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4747666801","display_name":"\u975e\u5468\u671f\u6269\u9891\u4fe1\u53f7\u591a\u4f2a\u7801\u76f2\u4f30\u8ba1\u6280\u672f\u7814\u7a76","funder_award_id":"61571172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023310072.pdf","grobid_xml":"https://content.openalex.org/works/W3023310072.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W124696327","https://openalex.org/W1963920031","https://openalex.org/W2004617923","https://openalex.org/W2012875423","https://openalex.org/W2026912579","https://openalex.org/W2027689502","https://openalex.org/W2050484918","https://openalex.org/W2056358687","https://openalex.org/W2059502120","https://openalex.org/W2064309976","https://openalex.org/W2078565548","https://openalex.org/W2089909809","https://openalex.org/W2093212899","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2107105977","https://openalex.org/W2109393762","https://openalex.org/W2114752292","https://openalex.org/W2117540068","https://openalex.org/W2120820057","https://openalex.org/W2139639076","https://openalex.org/W2145534432","https://openalex.org/W2527688567","https://openalex.org/W2546594897","https://openalex.org/W2599632008","https://openalex.org/W2737955903","https://openalex.org/W2785451509","https://openalex.org/W2790965620","https://openalex.org/W2899070239","https://openalex.org/W2934408291","https://openalex.org/W2943255452","https://openalex.org/W2985990156","https://openalex.org/W4249724384","https://openalex.org/W6605030200"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2035842265"],"abstract_inverted_index":{"The":[0,56,143,200],"texture":[1,26,34,52,62,80,93,108,121,136,159,183,198],"edge":[2,63],"continuity":[3,64,109,184],"of":[4,15,35,65,83,110,163,207],"a":[5,156],"finger":[6,45,85,112,173,209],"vein":[7,33,46,86,113,174,210],"image":[8,38,47,187],"is":[9,54],"very":[10],"important":[11],"for":[12],"the":[13,19,32,36,61,66,71,78,84,92,99,106,111,115,124,128,134,140,151,172,178,190,204,208,214],"accuracy":[14],"feature":[16,81],"extraction.":[17],"However,":[18],"traditional":[20,191],"inpainting":[21,48,141,152],"methods":[22,192],"which,":[23],"without":[24],"accurate":[25,197],"constraints,":[27],"are":[28,130],"easy":[29],"to":[30,39,105],"cause":[31],"inpainted":[37,67,176],"be":[40,96],"blurred":[41],"and":[42,154,167,185],"break.":[43],"A":[44],"method":[49,58,145,180,202],"with":[50,123,213],"Gabor":[51,79,100,135],"constraints":[53],"proposed.":[55],"proposed":[57,72,144,179,201],"effectively":[59],"protects":[60],"image.":[68],"Firstly,":[69],"using":[70,133],"vertical":[73],"phase":[74],"difference":[75],"coding":[76],"method,":[77],"matrix":[82],"image,":[87,114],"which":[88,118,193],"can":[89,95],"accurately":[90],"describe":[91],"information,":[94],"extracted":[97],"from":[98],"filtering":[101],"responses.":[102],"Then,":[103],"according":[104],"local":[107],"known":[116],"pixels,":[117],"have":[119,181,196],"different":[120],"orientations":[122],"center":[125],"pixel":[126],"in":[127,150],"patch,":[129],"filtered":[131],"out":[132],"constraining":[137],"mechanism":[138],"during":[139],"process.":[142],"eliminates":[146],"irrelevant":[147],"information":[148],"interference":[149],"process":[153],"has":[155],"more":[157],"precise":[158],"propagation.":[160],"Simulation":[161],"experiments":[162],"artificially":[164],"synthetic":[165],"images":[166,169,175],"acquired":[168,215],"show":[170],"that":[171],"by":[177],"better":[182],"higher":[186],"quality":[188],"than":[189],"do":[194],"not":[195],"constraints.":[199],"improves":[203],"recognition":[205],"performance":[206],"identification":[211],"system":[212],"damaged":[216],"images.":[217]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
