{"id":"https://openalex.org/W2011833660","doi":"https://doi.org/10.1109/icip.2014.7026014","title":"On cross spectral periocular recognition","display_name":"On cross spectral periocular recognition","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2011833660","doi":"https://doi.org/10.1109/icip.2014.7026014","mag":"2011833660"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026014","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":"conference-paper","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/A5062163730","display_name":"Anjali Sharma","orcid":"https://orcid.org/0000-0001-8840-2730"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Sharma","raw_affiliation_strings":["IIIT-Delhi, India","[IIIT-Delhi,India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT-Delhi,India]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101498109","display_name":"Shalini Verma","orcid":"https://orcid.org/0000-0001-5072-2341"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shalini Verma","raw_affiliation_strings":["IIIT-Delhi, India","[IIIT-Delhi,India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT-Delhi,India]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["IIIT-Delhi, India","[IIIT-Delhi,India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT-Delhi,India]","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["IIIT-Delhi, India","[IIIT-Delhi,India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]},{"raw_affiliation_string":"[IIIT-Delhi,India]","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9890999794006348,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232256531715393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529570817947388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6514577269554138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6088261604309082},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.575308620929718},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5465294718742371},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4340091347694397},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42802536487579346},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.42677438259124756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3548423647880554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1393028199672699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232256531715393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529570817947388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6514577269554138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6088261604309082},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.575308620929718},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465294718742371},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4340091347694397},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42802536487579346},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.42677438259124756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3548423647880554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1393028199672699},{"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/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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7026014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026014","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1998529975","https://openalex.org/W2024808535","https://openalex.org/W2049313567","https://openalex.org/W2082272942","https://openalex.org/W2113465366","https://openalex.org/W2136995369","https://openalex.org/W2150721269","https://openalex.org/W2152690956","https://openalex.org/W2154683974","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2652751060","https://openalex.org/W6739509182"],"related_works":["https://openalex.org/W2391245565","https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W2811390910","https://openalex.org/W2167293474","https://openalex.org/W2146076056","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2786306966","https://openalex.org/W2546942002"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,18,42,50,56,84],"challenge":[4],"of":[5],"cross":[6,43,51,59,85,97],"spectral":[7,44,52,60,86],"periocular":[8,61],"matching.":[9],"The":[10,77],"proposed":[11,78],"algorithm":[12],"utilizes":[13],"neural":[14,26,80],"network":[15,81],"for":[16],"learning":[17],"variabilities":[19],"caused":[20],"by":[21,40],"two":[22],"different":[23],"spectrums.":[24,76],"Two":[25],"networks":[27],"are":[28],"first":[29],"trained":[30],"on":[31,83],"each":[32],"spectrum":[33],"individually":[34],"and":[35,73,96],"then":[36],"combined":[37,79],"such":[38],"that,":[39],"using":[41],"training":[45],"data,":[46],"they":[47],"jointly":[48],"learn":[49],"variability.":[53],"To":[54],"evaluate":[55],"performance,":[57],"a":[58],"database":[62],"is":[63],"prepared":[64],"that":[65],"contains":[66],"images":[67],"pertaining":[68],"to":[69,92],"visible":[70],"night":[71],"vision":[72],"near":[74],"infrared":[75],"architecture,":[82],"database,":[87],"shows":[88],"improved":[89],"performance":[90],"compared":[91],"existing":[93],"feature":[94],"descriptors":[95],"domain":[98],"algorithms.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
