乐胖代购免代理版

{"id":"https://openalex.org/W2572319100","doi":"https://doi.org/10.1109/ipta.2016.7820932","title":"Efficient BSIF-based near-infrared iris recognition","display_name":"Efficient BSIF-based near-infrared iris recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2572319100","doi":"https://doi.org/10.1109/ipta.2016.7820932","mag":"2572319100"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7820932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5087866084","display_name":"Christian Rathgeb","orcid":"https://orcid.org/0000-0003-1901-9468"},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"funder","lineage":["https://openalex.org/I107257983"]},{"id":"https://openalex.org/I4210099379","display_name":"Zimmer Biomet (Germany)","ror":"https://ror.org/016731f38","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210099379","https://openalex.org/I4210115238"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Rathgeb","raw_affiliation_strings":["da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983","https://openalex.org/I4210099379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021640898","display_name":"Florian Struck","orcid":null},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"funder","lineage":["https://openalex.org/I107257983"]},{"id":"https://openalex.org/I4210099379","display_name":"Zimmer Biomet (Germany)","ror":"https://ror.org/016731f38","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210099379","https://openalex.org/I4210115238"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Struck","raw_affiliation_strings":["da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983","https://openalex.org/I4210099379"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017716310","display_name":"Christoph Busch","orcid":"https://orcid.org/0000-0002-9159-2923"},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"funder","lineage":["https://openalex.org/I107257983"]},{"id":"https://openalex.org/I4210099379","display_name":"Zimmer Biomet (Germany)","ror":"https://ror.org/016731f38","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4210099379","https://openalex.org/I4210115238"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Busch","raw_affiliation_strings":["da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"da/sec \u2013 Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983","https://openalex.org/I4210099379"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.994,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.587141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9433,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9323,"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/iris-recognition","display_name":"Iris Recognition","score":0.7493993},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.45610693},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.41675955}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7786927},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7493993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.69141376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65789354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5814769},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5674746},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5348118},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49388558},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.45610693},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.43838483},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41675955},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09640384},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7820932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1502160187","https://openalex.org/W1607979445","https://openalex.org/W178227285","https://openalex.org/W1879242765","https://openalex.org/W1985110735","https://openalex.org/W2008338741","https://openalex.org/W2013988101","https://openalex.org/W2017935068","https://openalex.org/W2018042038","https://openalex.org/W2021078775","https://openalex.org/W2028354897","https://openalex.org/W2057439586","https://openalex.org/W2057934663","https://openalex.org/W2083811603","https://openalex.org/W2102181094","https://openalex.org/W2102796633","https://openalex.org/W2114415923","https://openalex.org/W2131282907","https://openalex.org/W2135864704","https://openalex.org/W2142704643","https://openalex.org/W2149999708","https://openalex.org/W2160242612","https://openalex.org/W2163352848","https://openalex.org/W2321462649","https://openalex.org/W2328617829","https://openalex.org/W2536750593","https://openalex.org/W3209176672","https://openalex.org/W4231138265"],"related_works":["https://openalex.org/W2963988824","https://openalex.org/W276445467","https://openalex.org/W2609035398","https://openalex.org/W2366725889","https://openalex.org/W2086178285","https://openalex.org/W2067275498","https://openalex.org/W2004816544","https://openalex.org/W1581329577","https://openalex.org/W1561393713","https://openalex.org/W1483773479"],"abstract_inverted_index":{"Binarized":[0],"statistical":[1],"image":[2],"features":[3],"(BSIF)":[4],"represents":[5],"a":[6,101,118,127,134,183,188],"general":[7],"purpose":[8,37],"texture":[9,14],"descriptor":[10],"originally":[11],"designed":[12],"for":[13,35,41,53,71,90,121,133],"description":[15],"and":[16,160],"classification,":[17],"such":[18],"as":[19],"local":[20,25],"binary":[21],"patterns":[22],"(LBP)":[23],"or":[24,46],"phase":[26],"quantisation":[27],"(LPQ).":[28],"Recently,":[29],"BSIF":[30,66,89],"has":[31,67],"extensively":[32],"been":[33,69],"applied":[34],"the":[36,138,142,201,204],"of":[38,88,166,203],"biometric":[39,55,147],"recognition,":[40,62],"instance":[42],"based":[43,157],"on":[44,158],"face":[45],"palmprint":[47],"images.":[48],"While":[49],"recognition":[50,99],"accuracy":[51],"reported":[52],"different":[54],"characteristics":[56],"indicates":[57],"its":[58],"applicability":[59],"to":[60,109,125,154],"iris":[61,72,92,98,140],"up":[63],"till":[64],"now":[65],"primarily":[68],"employed":[70],"spoofing":[73],"detection":[74],"in":[75,107,187,193],"particular,":[76],"fake":[77],"contact":[78],"lens":[79],"detection.":[80],"In":[81,94],"this":[82],"work":[83],"we":[84,116,170],"present":[85],"an":[86,194],"adaptation":[87],"near-infrared":[91],"recognition.":[93],"accordance":[95],"with":[96],"generic":[97],"schemes,":[100],"specific":[102],"alignment":[103],"procedure":[104],"is":[105],"introduced":[106],"order":[108],"achieve":[110],"robustness":[111],"against":[112],"head":[113],"tilts.":[114],"Further,":[115],"propose":[117],"binarization":[119],"method":[120],"BSIF-based":[122,173],"feature":[123,129,174],"histograms,":[124],"obtain":[126],"compact":[128],"representation,":[130],"which":[131,198],"allows":[132],"rapid":[135],"comparison.":[136],"On":[137],"CASIAv4-Interval":[139],"database":[141],"proposed":[143],"system":[144],"achieves":[145],"competitive":[146],"performance":[148,185],"obtaining":[149],"EERs":[150,165],"below":[151,196],"0.6%,":[152],"compared":[153],"traditional":[155,180],"schemes":[156],"Log-Gabor":[159],"quadratic":[161],"spline":[162],"wavelets":[163],"revealing":[164],"approximately":[167],"0.4%.":[168],"Moreover,":[169],"show":[171],"that":[172],"vectors":[175],"complement":[176],"those":[177],"extracted":[178],"by":[179],"systems,":[181],"yielding":[182],"significant":[184],"gain":[186],"multi-algorithm":[189],"fusion":[190],"scenario":[191],"resulting":[192],"EER":[195],"0.2%,":[197],"further":[199],"underlines":[200],"usefulness":[202],"presented":[205],"approach.":[206]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2572319100","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-04-19T20:31:05.416715","created_date":"2017-01-26"}