{"id":"https://openalex.org/W2758890601","doi":"https://doi.org/10.23919/biosig.2017.8053505","title":"Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution","display_name":"Exploring Texture Transfer Learning via Convolutional Neural Networks for Iris Super Resolution","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2758890601","doi":"https://doi.org/10.23919/biosig.2017.8053505","mag":"2758890601"},"language":"en","primary_location":{"id":"doi:10.23919/biosig.2017.8053505","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5101641076","display_name":"Eduardo Ribeiro","orcid":"https://orcid.org/0000-0001-9280-4345"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I41458283","display_name":"Universidade Federal do Tocantins","ror":"https://ror.org/053xy8k29","country_code":"BR","type":"education","lineage":["https://openalex.org/I41458283"]}],"countries":["AT","BR"],"is_corresponding":false,"raw_author_name":"Eduardo Ribeiro","raw_affiliation_strings":["Department of Computer Sciences, Federal University of Tocantins, Tocantins, Brasil","Department of Computer Sciences, University of Salzburg, Salzburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Federal University of Tocantins, Tocantins, Brasil","institution_ids":["https://openalex.org/I41458283"]},{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.739,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81079183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9262999892234802,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8025336265563965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7960830926895142},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7949258685112},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7818223237991333},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7617685794830322},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6689446568489075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6167848110198975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6014829277992249},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.45262500643730164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41271668672561646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36355775594711304},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.13170266151428223}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8025336265563965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960830926895142},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7949258685112},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7818223237991333},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7617685794830322},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6689446568489075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6167848110198975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6014829277992249},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.45262500643730164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41271668672561646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36355775594711304},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.13170266151428223}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/biosig.2017.8053505","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","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":35,"referenced_works":["https://openalex.org/W857158685","https://openalex.org/W935139217","https://openalex.org/W1686810756","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2000123870","https://openalex.org/W2047643928","https://openalex.org/W2059552065","https://openalex.org/W2088254198","https://openalex.org/W2132844636","https://openalex.org/W2145301513","https://openalex.org/W2152773182","https://openalex.org/W2166049352","https://openalex.org/W2169616991","https://openalex.org/W2242218935","https://openalex.org/W2296686320","https://openalex.org/W2306164244","https://openalex.org/W2310919327","https://openalex.org/W2331128040","https://openalex.org/W2460425166","https://openalex.org/W2476548250","https://openalex.org/W2507096059","https://openalex.org/W2523714292","https://openalex.org/W2528312754","https://openalex.org/W2585712037","https://openalex.org/W2588000623","https://openalex.org/W2953066166","https://openalex.org/W2962835968","https://openalex.org/W2963470893","https://openalex.org/W6637373629","https://openalex.org/W6672745981","https://openalex.org/W6676622225","https://openalex.org/W6727340567","https://openalex.org/W6733135696","https://openalex.org/W6764750447"],"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":{"Increasingly,":[0],"iris":[1,34,55,101],"recognition":[2,68,102],"towards":[3],"more":[4],"relaxed":[5],"conditions":[6],"has":[7],"issued":[8],"a":[9,80],"new":[10],"super-resolution":[11,94],"field":[12],"direction.":[13],"In":[14],"this":[15,37],"work":[16],"we":[17,39],"evaluate":[18],"the":[19,42,45,51,54,58,64,67,75],"use":[20],"of":[21,44],"deep":[22,81],"learning":[23,26,61,78],"and":[24],"transfer":[25,60,77],"for":[27,92],"single":[28],"image":[29,93],"super":[30],"resolution":[31],"applied":[32],"to":[33,99],"recognition.":[35],"For":[36],"purpose,":[38],"explore":[40],"if":[41,50],"nature":[43],"images":[46],"as":[47,49],"well":[48],"pattern":[52],"from":[53],"can":[56,95],"influence":[57],"CNN":[59],"and,":[62],"consequently,":[63],"results":[65,72],"in":[66],"process.":[69],"The":[70],"good":[71],"obtained":[73],"by":[74,87],"texture":[76],"using":[79],"architecture":[82],"suggest":[83],"that":[84],"features":[85],"learned":[86],"Convolutional":[88],"Neural":[89],"Networks":[90],"used":[91],"be":[96],"highly":[97],"relevant":[98],"increase":[100],"rate.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
