{"id":"https://openalex.org/W2293543157","doi":"https://doi.org/10.1109/icip.2015.7351665","title":"High-order information for robust iris recognition under less controlled conditions","display_name":"High-order information for robust iris recognition under less controlled conditions","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293543157","doi":"https://doi.org/10.1109/icip.2015.7351665","mag":"2293543157"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5089975889","display_name":"Guanglei Yang","orcid":"https://orcid.org/0000-0002-5324-3642"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanglei Yang","raw_affiliation_strings":["Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012799900","display_name":"Hui Zeng","orcid":"https://orcid.org/0000-0001-6862-6964"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zeng","raw_affiliation_strings":["Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070918242","display_name":"Peihua Li","orcid":"https://orcid.org/0000-0001-7229-3867"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peihua Li","raw_affiliation_strings":["Dalian University of Technology"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089975889"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.8615,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75750685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4535","last_page":"4539"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9847999811172485,"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/T11448","display_name":"Face recognition and analysis","score":0.982200026512146,"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/matching","display_name":"Matching (statistics)","score":0.6255111694335938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5679066181182861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5635325312614441},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5357773303985596},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5016539096832275},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.4973776638507843},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4826817810535431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47488659620285034},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4558911919593811},{"id":"https://openalex.org/keywords/outer-product","display_name":"Outer product","score":0.45554864406585693},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4554552435874939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44379252195358276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36195987462997437},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3249615430831909},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32293933629989624},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3202422559261322},{"id":"https://openalex.org/keywords/tensor-product","display_name":"Tensor product","score":0.2622590959072113},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.148534893989563},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.14112702012062073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11735513806343079}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6255111694335938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679066181182861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5635325312614441},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5357773303985596},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5016539096832275},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.4973776638507843},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4826817810535431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47488659620285034},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4558911919593811},{"id":"https://openalex.org/C180623205","wikidata":"https://www.wikidata.org/wiki/Q1268589","display_name":"Outer product","level":3,"score":0.45554864406585693},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4554552435874939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44379252195358276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36195987462997437},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3249615430831909},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32293933629989624},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3202422559261322},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.2622590959072113},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.148534893989563},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.14112702012062073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11735513806343079},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7351665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/55577","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/55577","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":25,"referenced_works":["https://openalex.org/W178227285","https://openalex.org/W601292485","https://openalex.org/W1548783750","https://openalex.org/W1592601918","https://openalex.org/W1966385142","https://openalex.org/W1971937900","https://openalex.org/W1974821667","https://openalex.org/W1992358283","https://openalex.org/W2022864356","https://openalex.org/W2025007386","https://openalex.org/W2025546194","https://openalex.org/W2057352808","https://openalex.org/W2058991683","https://openalex.org/W2066941820","https://openalex.org/W2104311988","https://openalex.org/W2117690924","https://openalex.org/W2118946293","https://openalex.org/W2144148034","https://openalex.org/W2149999708","https://openalex.org/W2151103935","https://openalex.org/W2152413067","https://openalex.org/W2167078873","https://openalex.org/W2169096120","https://openalex.org/W6997266731","https://openalex.org/W7052561733"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2952386695","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"Iris":[0],"recognition":[1],"has":[2],"achieved":[3,167],"great":[4],"progress":[5],"in":[6,9,14],"cooperative":[7],"environments":[8],"the":[10,58,91,101,105,112,120,138,158,172],"past":[11],"decades.":[12],"However,":[13],"less":[15],"controlled":[16],"conditions":[17],"it":[18],"is":[19],"still":[20],"an":[21],"open":[22],"and":[23,87,124,128,151,175],"challenging":[24,38,173],"problem":[25],"because":[26],"of":[27,47,61,70,79,94,104,115],"severe":[28],"noisy":[29],"factors":[30],"induced":[31],"by":[32],"non-cooperative":[33],"subjects.":[34],"For":[35],"handling":[36],"this":[37],"problem,":[39],"we":[40,74,99,132],"propose":[41],"a":[42],"method":[43],"called":[44],"ordinal":[45,102],"measure":[46,103],"outer":[48,76,107],"product":[49,77,108],"tensor":[50],"(O":[51],"<sup":[52,65,143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[53,66,144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[54,67,145],"PT)":[55],"which":[56,84,118,155],"leverages":[57],"high-order":[59,159],"information":[60],"image":[62,149,163],"features.":[63,96],"O":[64,142],"PT":[68,146],"consists":[69],"two":[71,134],"components.":[72],"First":[73],"compute":[75,100],"tensors":[78,109],"raw":[80,95],"features":[81],"(e.g.":[82],"SIFT)":[83],"are":[85],"vectorized":[86],"locally":[88],"aggregated,":[89],"characterizing":[90],"second-order":[92],"statistics":[93],"And":[97],"then":[98],"aggregated":[106],"to":[110,126,136],"model":[111],"order":[113],"relation":[114],"iris":[116,148],"texture,":[117],"makes":[119],"representation":[121],"more":[122],"compact":[123],"robust":[125],"noise":[127],"illumination":[129],"changes.":[130],"Furthermore,":[131],"combine":[133],"modalities":[135],"improve":[137],"matching":[139,150,169],"performance,":[140],"namely,":[141],"for":[147,161],"Fisher":[152],"Vector":[153],"(FV),":[154],"also":[156],"exploits":[157],"information,":[160],"eye":[162],"matching.":[164],"We":[165],"have":[166],"competitive":[168],"performance":[170],"on":[171],"UBIRIS.v2":[174],"CASIA-Iris-Thousand":[176],"databases.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
