{"id":"https://openalex.org/W2067641655","doi":"https://doi.org/10.1109/icip.2014.7026010","title":"Best regions for periocular recognition with NIR and visible images","display_name":"Best regions for periocular recognition with NIR and visible images","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2067641655","doi":"https://doi.org/10.1109/icip.2014.7026010","mag":"2067641655"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-25468","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086684870","display_name":"Fernando Alonso\u2010Fernandez","orcid":"https://orcid.org/0000-0002-1400-346X"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Fernando Alonso-Fernandez","raw_affiliation_strings":["Halmstad University, Halmstad, SE, Sweden","Halmstad University. Box 823. SE 301-18 Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Halmstad University, Halmstad, SE, Sweden","institution_ids":["https://openalex.org/I746986"]},{"raw_affiliation_string":"Halmstad University. Box 823. SE 301-18 Halmstad, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041524830","display_name":"Josef Big\u00fcn","orcid":"https://orcid.org/0000-0002-4929-1262"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Josef Bigun","raw_affiliation_strings":["Halmstad University, Halmstad, SE, Sweden","Halmstad University. Box 823. SE 301-18 Halmstad, Sweden"],"affiliations":[{"raw_affiliation_string":"Halmstad University, Halmstad, SE, Sweden","institution_ids":["https://openalex.org/I746986"]},{"raw_affiliation_string":"Halmstad University. Box 823. SE 301-18 Halmstad, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086684870"],"corresponding_institution_ids":["https://openalex.org/I746986"],"apc_list":null,"apc_paid":null,"fwci":2.0379,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87366898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4987","last_page":"4991"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7732145190238953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503718733787537},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7328017950057983},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7320896983146667},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6743372678756714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6358877420425415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5542730093002319},{"id":"https://openalex.org/keywords/sclera","display_name":"Sclera","score":0.486203134059906},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4592449963092804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21989357471466064},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.14323776960372925},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06316497921943665}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7732145190238953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503718733787537},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7328017950057983},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7320896983146667},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6743372678756714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6358877420425415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5542730093002319},{"id":"https://openalex.org/C2777100477","wikidata":"https://www.wikidata.org/wiki/Q193107","display_name":"Sclera","level":2,"score":0.486203134059906},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4592449963092804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21989357471466064},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.14323776960372925},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06316497921943665},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7026010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:hh-25468","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-25468","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:hh-25468","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-25468","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W178227285","https://openalex.org/W333062649","https://openalex.org/W1598554978","https://openalex.org/W1942147923","https://openalex.org/W1964422708","https://openalex.org/W1974821667","https://openalex.org/W1975515564","https://openalex.org/W1987897522","https://openalex.org/W2006044808","https://openalex.org/W2014915963","https://openalex.org/W2025546194","https://openalex.org/W2047750060","https://openalex.org/W2057961664","https://openalex.org/W2061272711","https://openalex.org/W2082272942","https://openalex.org/W2089606096","https://openalex.org/W2113465366","https://openalex.org/W2125442391","https://openalex.org/W2145301513","https://openalex.org/W2152690956","https://openalex.org/W2158275940","https://openalex.org/W2161717988","https://openalex.org/W2166590460","https://openalex.org/W6607197667","https://openalex.org/W6611333507","https://openalex.org/W6635698778","https://openalex.org/W6640674298"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"We":[0,28,122],"evaluate":[1,124],"the":[2,26,57,64,75,83,92,96,102,112,116],"most":[3,76],"useful":[4],"regions":[5,38,100],"for":[6],"periocular":[7,15,105,134],"recognition.":[8],"For":[9],"this":[10],"purpose,":[11],"we":[12],"employ":[13],"our":[14,86,133],"algorithm":[16],"based":[17],"on":[18],"retinotopic":[19],"sampling":[20],"grids":[21],"and":[22,32,52],"Gabor":[23],"analysis":[24],"of":[25,85,98,104,118],"spectrum.":[27],"use":[29,117],"both":[30],"NIR":[31,61,72],"visible":[33,80],"iris":[34,48,126],"images.":[35],"The":[36,47],"best":[37,58,84],"are":[39,110],"selected":[40],"via":[41],"Sequential":[42],"Forward":[43],"Floating":[44],"Selection":[45],"(SFFS).":[46],"neighborhood":[49],"(including":[50],"sclera":[51],"eyelashes)":[53],"is":[54,69,74],"found":[55],"as":[56,136],"region":[59,78],"with":[60,132],"data,":[62],"while":[63],"surrounding":[65],"skin":[66],"texture":[67,127],"(which":[68],"over-illuminated":[70],"in":[71,79,91,101,111],"images)":[73],"discriminative":[77],"range.":[81],"To":[82],"knowledge,":[87],"only":[88],"one":[89],"work":[90],"literature":[93],"has":[94],"evaluated":[95],"influence":[97],"different":[99,120],"performance":[103],"recognition":[106],"algorithms.":[107],"Our":[108],"results":[109,131],"same":[113],"line,":[114],"despite":[115],"completely":[119],"matchers.":[121],"also":[123],"an":[125],"matcher,":[128],"providing":[129],"fusion":[130],"system":[135],"well.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
