{"id":"https://openalex.org/W2904311383","doi":"https://doi.org/10.1007/978-3-030-21074-8_36","title":"Unconstrained Iris Segmentation Using Convolutional Neural Networks","display_name":"Unconstrained Iris Segmentation Using Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2904311383","doi":"https://doi.org/10.1007/978-3-030-21074-8_36","mag":"2904311383"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-21074-8_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21074-8_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5067858337","display_name":"Sohaib Ahmad","orcid":"https://orcid.org/0000-0001-6720-0507"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sohaib Ahmad","raw_affiliation_strings":["University of Connecticut, Storrs, CT, 06269, USA"],"raw_orcid":"https://orcid.org/0000-0001-6720-0507","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078232767","display_name":"Benjamin Fuller","orcid":"https://orcid.org/0000-0001-6450-0088"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Fuller","raw_affiliation_strings":["University of Connecticut, Storrs, CT, 06269, USA"],"raw_orcid":"https://orcid.org/0000-0001-6450-0088","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067858337"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.9437,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96987654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9503999948501587,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9412000179290771,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/computer-science","display_name":"Computer science","score":0.8535161018371582},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8299327492713928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7998238801956177},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6969097852706909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6132535338401794},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5967360734939575},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.5808635950088501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5319141745567322},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5227808356285095},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4867541790008545},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4748033583164215},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4294244647026062},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.06450831890106201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535161018371582},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8299327492713928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7998238801956177},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6969097852706909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6132535338401794},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5967360734939575},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.5808635950088501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5319141745567322},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5227808356285095},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4867541790008545},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4748033583164215},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4294244647026062},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.06450831890106201}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-21074-8_36","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21074-8_36","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1985110735","https://openalex.org/W1988790447","https://openalex.org/W1995376165","https://openalex.org/W1996763888","https://openalex.org/W1998529975","https://openalex.org/W2000805497","https://openalex.org/W2037610579","https://openalex.org/W2095905764","https://openalex.org/W2102605133","https://openalex.org/W2104095591","https://openalex.org/W2104241941","https://openalex.org/W2115718877","https://openalex.org/W2145301513","https://openalex.org/W2158116394","https://openalex.org/W2169096120","https://openalex.org/W2171759622","https://openalex.org/W2172128630","https://openalex.org/W2194775991","https://openalex.org/W2209174485","https://openalex.org/W2401732380","https://openalex.org/W2438833314","https://openalex.org/W2513586865","https://openalex.org/W2565639579","https://openalex.org/W2587540369","https://openalex.org/W2613718673","https://openalex.org/W2741839910","https://openalex.org/W2760628768","https://openalex.org/W2765685479","https://openalex.org/W2774581827","https://openalex.org/W2802806477","https://openalex.org/W2963150697","https://openalex.org/W2963881378","https://openalex.org/W4230888393"],"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":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
