{"id":"https://openalex.org/W3006300964","doi":"https://doi.org/10.1109/icb45273.2019.8987435","title":"Thermal and Cross-spectral Palm Image Matching in the Visual Domain by Robust Image Transformation","display_name":"Thermal and Cross-spectral Palm Image Matching in the Visual Domain by Robust Image Transformation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3006300964","doi":"https://doi.org/10.1109/icb45273.2019.8987435","mag":"3006300964"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5086290876","display_name":"Ewelina Bartuzi","orcid":"https://orcid.org/0000-0001-6245-2908"},"institutions":[{"id":"https://openalex.org/I4210136276","display_name":"NASK National Research Institute","ror":"https://ror.org/03ajsaw82","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210136276"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ewelina Bartuzi","raw_affiliation_strings":["Research and Academic Computer Network (NASK),Warsaw,Poland","Research and Academic Computer Network (NASK), Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Academic Computer Network (NASK),Warsaw,Poland","institution_ids":["https://openalex.org/I4210136276"]},{"raw_affiliation_string":"Research and Academic Computer Network (NASK), Warsaw, Poland","institution_ids":["https://openalex.org/I4210136276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059766088","display_name":"Naser Damer","orcid":"https://orcid.org/0000-0001-7910-7895"},"institutions":[{"id":"https://openalex.org/I3019423309","display_name":"Fraunhofer Institute for Computer Graphics Research","ror":"https://ror.org/04gmsar03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3019423309","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Naser Damer","raw_affiliation_strings":["Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany","institution_ids":["https://openalex.org/I3019423309"]},{"raw_affiliation_string":"Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany","institution_ids":["https://openalex.org/I3019423309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1635,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48241648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7704629302024841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7244265079498291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6847380995750427},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5882835984230042},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5249861478805542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5114949941635132},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46148979663848877},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4581559896469116},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4350378215312958},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42851364612579346},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4201539158821106},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4128008484840393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3963387608528137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37796077132225037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1271420419216156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704629302024841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7244265079498291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6847380995750427},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5882835984230042},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5249861478805542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5114949941635132},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46148979663848877},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4581559896469116},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4350378215312958},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42851364612579346},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4201539158821106},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4128008484840393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3963387608528137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37796077132225037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1271420419216156},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icb45273.2019.8987435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-599596","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-599596.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IGD","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/408708","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/408708","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W793728222","https://openalex.org/W1526662621","https://openalex.org/W1567126838","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1968113673","https://openalex.org/W1974900975","https://openalex.org/W1979155176","https://openalex.org/W2013491563","https://openalex.org/W2019320651","https://openalex.org/W2032794652","https://openalex.org/W2039004170","https://openalex.org/W2078940929","https://openalex.org/W2087294038","https://openalex.org/W2088554076","https://openalex.org/W2092264651","https://openalex.org/W2100553728","https://openalex.org/W2102166818","https://openalex.org/W2108598243","https://openalex.org/W2114214092","https://openalex.org/W2119416456","https://openalex.org/W2119605622","https://openalex.org/W2122393977","https://openalex.org/W2124964692","https://openalex.org/W2126562928","https://openalex.org/W2129915901","https://openalex.org/W2152683441","https://openalex.org/W2163352848","https://openalex.org/W2173520492","https://openalex.org/W2294925427","https://openalex.org/W2475287302","https://openalex.org/W2512173312","https://openalex.org/W2534257170","https://openalex.org/W2559026119","https://openalex.org/W2562861196","https://openalex.org/W2578457868","https://openalex.org/W2605195953","https://openalex.org/W2620158569","https://openalex.org/W2773594570","https://openalex.org/W2789377834","https://openalex.org/W2804448848","https://openalex.org/W2809199401","https://openalex.org/W2809810108","https://openalex.org/W2890653641","https://openalex.org/W2962690890","https://openalex.org/W2962793481","https://openalex.org/W2962835968","https://openalex.org/W2963073614","https://openalex.org/W2963276927","https://openalex.org/W2963294002","https://openalex.org/W2963522749","https://openalex.org/W2963684088","https://openalex.org/W2964309429","https://openalex.org/W2980707030","https://openalex.org/W4243097765","https://openalex.org/W4243694068","https://openalex.org/W4295274059","https://openalex.org/W6623034524","https://openalex.org/W6634183221","https://openalex.org/W6637373629","https://openalex.org/W6642399044","https://openalex.org/W6677303407","https://openalex.org/W6678682734","https://openalex.org/W6678856934","https://openalex.org/W6685352114","https://openalex.org/W6725643964","https://openalex.org/W6732573520","https://openalex.org/W6736155344","https://openalex.org/W6746846320","https://openalex.org/W6748706657","https://openalex.org/W6768897727"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085"],"abstract_inverted_index":{"Synthesizing":[0],"visual-like":[1,60,146],"images":[2,62,116,125,143,169,179],"from":[3,63,202,207],"those":[4],"captured":[5],"in":[6,41,51,87,95,118,212],"the":[7,29,70,78,82,85,96,109,150,167,171,177,193,200],"thermal":[8,64,98,141],"spectrum":[9],"allows":[10],"for":[11,28],"direct":[12],"cross-domain":[13],"comparisons.":[14],"Moreover,":[15],"it":[16],"enables":[17],"thermal-to-thermal":[18,196],"comparisons":[19],"that":[20,114],"take":[21],"advantage":[22],"of":[23,72,81,111,126,149,166],"feature":[24],"extraction":[25],"methodologies":[26],"developed":[27],"visual":[30,173],"domain.":[31,99],"Hand":[32],"based":[33,183],"biometrics":[34],"are":[35,77],"socially":[36],"accepted":[37],"and":[38,84,92,156,163,186,195,206],"can":[39],"operate":[40],"a":[42,102,136],"touchless":[43],"mode.":[44],"However,":[45],"certain":[46],"deployment":[47],"scenarios":[48],"requires":[49],"captures":[50],"non-visual":[52],"spectrums":[53],"due":[54],"to":[55,69,139,170,204,209],"impractical":[56],"illumination":[57],"requirements.":[58],"Generating":[59],"palm":[61,142],"ones":[65],"faces":[66],"challenges":[67,76],"related":[68],"nature":[71,80],"hand":[73,83,187],"biometrics.":[74],"Such":[75],"dynamic":[79],"difficulties":[86],"accurately":[88],"aligning":[89],"hand's":[90],"scale":[91,155],"rotation,":[93],"especially":[94],"understudied":[97],"Building":[100],"such":[101],"synthetic":[103],"solution":[104,138],"is":[105],"also":[106],"challenged":[107],"by":[108,130],"lack":[110],"large-scale":[112],"databases":[113],"contain":[115],"collected":[117],"both":[119,213],"spectra,":[120],"as":[121,123],"well":[122],"generating":[124],"appropriate":[127],"resolutions.":[128],"Driven":[129],"these":[131],"challenges,":[132],"this":[133],"paper":[134],"presents":[135],"novel":[137],"transfer":[140],"into":[144],"high-quality":[145],"images,":[147],"regardless":[148],"limited":[151],"training":[152],"data,":[153],"or":[154],"rotational":[157],"variations.":[158],"We":[159,175],"proved":[160],"quality":[161],"similarity":[162],"high":[164],"correlation":[165],"generated":[168],"original":[172],"images.":[174],"used":[176],"synthesized":[178],"within":[180],"verification":[181,197],"approaches":[182],"on":[184],"CNN":[185],"crafted-features.":[188],"This":[189],"allowed":[190],"significantly":[191],"improved":[192],"cross-spectral":[194],"performances,":[198],"reducing":[199],"EER":[201],"37.12%":[203],"16.25%":[205],"3.04%":[208],"1.65%,":[210],"respectively":[211],"cases":[214],"when":[215],"using":[216],"CNN-based":[217],"features.":[218]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
