{"id":"https://openalex.org/W2979554451","doi":"https://doi.org/10.3390/app9194178","title":"Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance","display_name":"Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance","publication_year":2019,"publication_date":"2019-10-06","ids":{"openalex":"https://openalex.org/W2979554451","doi":"https://doi.org/10.3390/app9194178","mag":"2979554451"},"language":"en","primary_location":{"id":"doi:10.3390/app9194178","doi":"https://doi.org/10.3390/app9194178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9194178","pdf_url":"https://www.mdpi.com/2076-3417/9/19/4178/pdf?version=1570355479","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2979554451"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/9/19/4178/pdf?version=1570355479","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101430135","display_name":"Wei Nie","orcid":"https://orcid.org/0000-0003-0060-9863","observed_orcids":["https://orcid.org/0000-0003-0060-9863"]},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Wei Nie","raw_affiliation_strings":["PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China"],"raw_orcid":"https://orcid.org/0000-0003-0060-9863","affiliations":[{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519","observed_orcids":["https://orcid.org/0000-0003-2497-9519"]},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237","observed_orcids":["https://orcid.org/0000-0001-7641-2237","https://orcid.org/0009-0001-4061-3405"]},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048088901"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":1500,"currency":"CHF","value_usd":1520},"apc_paid":{"value":1500,"currency":"CHF","value_usd":1520},"fwci":1.0432,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74907322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"9","issue":"19","first_page":"4178","last_page":"4178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9940999746322632,"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":0.9940999746322632,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.00039999998989515007,"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/edge-contrast","display_name":"edge contrast","score":0.9589999914169312},{"id":"https://openalex.org/keywords/local-feature-representation","display_name":"local feature representation","score":0.7789999842643738},{"id":"https://openalex.org/keywords/hand-vein-recognition","display_name":"hand vein recognition","score":0.5049999952316284},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.4390000104904175},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filtering","score":0.5320000052452087},{"id":"https://openalex.org/keywords/nearest-neighbor-matching","display_name":"nearest neighbor matching","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9106373190879822},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8169951438903809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365344166755676},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.6680881381034851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6213766932487488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017866730690002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48503774404525757},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4671230912208557},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.455456405878067},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4453229308128357},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.3390/app9194178","doi":"https://doi.org/10.3390/app9194178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9194178","pdf_url":"https://www.mdpi.com/2076-3417/9/19/4178/pdf?version=1570355479","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e1fa949a15c4f13be0d0a8ef481e480","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/2e1fa949a15c4f13be0d0a8ef481e480","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 9, Iss 19, p 4178 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app9194178","doi":"https://doi.org/10.3390/app9194178","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/app9194178","pdf_url":"https://www.mdpi.com/2076-3417/9/19/4178/pdf?version=1570355479","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979554451.pdf","grobid_xml":"https://content.openalex.org/works/W2979554451.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1940322233","https://openalex.org/W1968798866","https://openalex.org/W1977574713","https://openalex.org/W1984959895","https://openalex.org/W2002747721","https://openalex.org/W2006412088","https://openalex.org/W2018667667","https://openalex.org/W2030270830","https://openalex.org/W2035875937","https://openalex.org/W2051016413","https://openalex.org/W2057634474","https://openalex.org/W2068163268","https://openalex.org/W2082012145","https://openalex.org/W2096121634","https://openalex.org/W2114214092","https://openalex.org/W2116324098","https://openalex.org/W2117539524","https://openalex.org/W2132549764","https://openalex.org/W2144025519","https://openalex.org/W2321150062","https://openalex.org/W2338576408","https://openalex.org/W2403862286","https://openalex.org/W2490513603","https://openalex.org/W2491324189","https://openalex.org/W2518263381","https://openalex.org/W2522471385","https://openalex.org/W2557876419","https://openalex.org/W2564304793","https://openalex.org/W2615293002","https://openalex.org/W2624517164","https://openalex.org/W2748856638","https://openalex.org/W2766280296","https://openalex.org/W2766534271","https://openalex.org/W2783543995","https://openalex.org/W2789377834","https://openalex.org/W2804126026","https://openalex.org/W2888620059","https://openalex.org/W2892064351","https://openalex.org/W2895238724","https://openalex.org/W2897896259","https://openalex.org/W2901162228","https://openalex.org/W2915679594","https://openalex.org/W2921595296","https://openalex.org/W2940927497","https://openalex.org/W3112293456","https://openalex.org/W4249911582","https://openalex.org/W4403686910"],"related_works":["https://openalex.org/W1968798866","https://openalex.org/W7117980247","https://openalex.org/W2124692967","https://openalex.org/W7118006225","https://openalex.org/W2945157238","https://openalex.org/W2956055960","https://openalex.org/W2944163992","https://openalex.org/W2009274322","https://openalex.org/W3184125224","https://openalex.org/W4405438038"],"abstract_inverted_index":{"Image":[0],"acutance":[1,27,52,65,135,148,197],"or":[2],"edge":[3],"contrast":[4],"in":[5,12,17,28,39,53,202],"an":[6,47,199],"image":[7,51,73,84,134,196],"plays":[8,198],"a":[9,34,62,81,155],"crucial":[10],"role":[11,201],"hyperspectral":[13,54,82,110,116,203],"hand":[14,55,83,112,204],"biometrics,":[15],"especially":[16],"the":[18,24,97,128,139,144,151,164,176,188],"local":[19,94],"feature":[20,95],"representation":[21],"phase.":[22],"However,":[23],"study":[25],"of":[26,36,50,159,187],"this":[29,40,59,191],"application":[30],"has":[31],"not":[32],"received":[33],"lot":[35],"attention.":[37],"Therefore,":[38],"paper":[41],"we":[42,192],"propose":[43],"that":[44,126,186,195],"there":[45],"is":[46,68],"optimal":[48,60,140],"range":[49],"biometrics.":[56,205],"To":[57],"locate":[58],"range,":[61],"thresholded":[63],"pixel-wise":[64],"value":[66],"(TPAV)":[67],"firstly":[69],"proposed":[70],"to":[71,87,138,150,185],"assess":[72],"acutance.":[74],"Then,":[75],"through":[76],"convolving":[77],"with":[78,146],"Gaussian":[79],"filters,":[80],"was":[85,101,136,173],"preprocessed":[86],"obtain":[88],"different":[89],"TPAVs.":[90],"Afterwards,":[91],"based":[92],"on":[93,109,175],"representation,":[96],"nearest":[98],"neighbor":[99],"method":[100,172],"used":[102],"for":[103,163],"matching.":[104],"The":[105,124],"experiments":[106],"were":[107,131],"conducted":[108],"dorsal":[111],"vein":[113,118],"(HDHV)":[114],"and":[115,161,166],"palm":[117,179],"(HPV)":[119],"databases":[120],"containing":[121],"53":[122],"bands.":[123],"results":[125,184],"achieved":[127],"best":[129],"performance":[130],"those":[132],"where":[133],"adjusted":[137,147],"range.":[141],"On":[142],"average,":[143],"samples":[145],"compared":[149],"original":[152],"improved":[153],"by":[154],"recognition":[156],"rate":[157],"(RR)":[158],"29.5%":[160],"45.7%":[162],"HDHV":[165],"HPV":[167],"datasets,":[168],"respectively.":[169],"Furthermore,":[170],"our":[171],"validated":[174],"PolyU":[177],"multispectral":[178],"print":[180],"database":[181],"producing":[182],"similar":[183],"hyperspectral.":[189],"From":[190],"can":[193],"conclude":[194],"important":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-10-18T00:00:00"}
