{"id":"https://openalex.org/W4410028930","doi":"https://doi.org/10.3390/sym17050654","title":"Symmetry Alignment\u2013Feature Interaction Network for Human Ear Similarity Detection and Authentication","display_name":"Symmetry Alignment\u2013Feature Interaction Network for Human Ear Similarity Detection and Authentication","publication_year":2025,"publication_date":"2025-04-26","ids":{"openalex":"https://openalex.org/W4410028930","doi":"https://doi.org/10.3390/sym17050654"},"language":"en","primary_location":{"id":"doi:10.3390/sym17050654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17050654","pdf_url":"https://www.mdpi.com/2073-8994/17/5/654/pdf?version=1745813406","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/5/654/pdf?version=1745813406","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103658779","display_name":"Li Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0009-0007-6172-6322","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075527439","display_name":"H. Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He-Bin Zhou","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0009-0006-0899-2974","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074215202","display_name":"Jiangyun Li","orcid":"https://orcid.org/0000-0003-2288-7901"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang-Yun Li","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418714","display_name":"Li Liu","orcid":"https://orcid.org/0000-0001-5083-4626"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000141628","display_name":"Xiaodong Gu","orcid":"https://orcid.org/0000-0002-7096-1830"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Chai Gu","raw_affiliation_strings":["Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102028302","display_name":"Yanan Zhao","orcid":"https://orcid.org/0000-0001-9200-4970"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya-Nan Zhao","raw_affiliation_strings":["Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102028302"],"corresponding_institution_ids":["https://openalex.org/I200296433"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.9024,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.705787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"17","issue":"5","first_page":"654","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9818000197410583,"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":0.9818000197410583,"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":0.9581000208854675,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9430999755859375,"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/feature","display_name":"Feature (linguistics)","score":0.6451735496520996},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.6295628547668457},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.587758481502533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5804702639579773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4866939187049866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44432270526885986},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.36591702699661255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3096553683280945},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17924794554710388},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14496788382530212},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1306697130203247}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6451735496520996},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.6295628547668457},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.587758481502533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5804702639579773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4866939187049866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44432270526885986},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.36591702699661255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3096553683280945},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17924794554710388},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14496788382530212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1306697130203247},{"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:10.3390/sym17050654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17050654","pdf_url":"https://www.mdpi.com/2073-8994/17/5/654/pdf?version=1745813406","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17050654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17050654","pdf_url":"https://www.mdpi.com/2073-8994/17/5/654/pdf?version=1745813406","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4410028930.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2127995088","https://openalex.org/W2780523336","https://openalex.org/W2792027052","https://openalex.org/W2969656782","https://openalex.org/W3003720578","https://openalex.org/W3128958276","https://openalex.org/W3130292685","https://openalex.org/W4327967105","https://openalex.org/W4384702850","https://openalex.org/W4386450746","https://openalex.org/W4387441893","https://openalex.org/W4390466093","https://openalex.org/W4392943796","https://openalex.org/W4407184327","https://openalex.org/W4407614889","https://openalex.org/W4408402566"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W3147584709","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2076713575"],"abstract_inverted_index":{"In":[0],"the":[1,10,56,88,95,140,150,164,181,184,189,198,203,210,239,258],"context":[2],"of":[3,98,142,146,158,171,183,206,241,260],"ear-based":[4],"biometric":[5,242],"identity":[6,41,174],"authentication,":[7],"symmetry":[8,38,247],"between":[9,87,115,209],"left":[11,89],"and":[12,26,78,90,131,144,167,212,253],"right":[13,91],"ears":[14],"emerges":[15],"as":[16],"a":[17,53,70,79,105,119,137,154,223,235],"pivotal":[18],"factor,":[19],"particularly":[20],"when":[21],"registration":[22],"involves":[23],"one":[24],"ear":[25,37,261],"authentication":[27,64,175,240],"utilizes":[28],"its":[29],"contralateral":[30],"counterpart.":[31],"The":[32,66],"extent":[33],"to":[34,62,82,111,123,256],"which":[35],"bilateral":[36],"supports":[39],"consistent":[40],"verification":[42],"warrants":[43],"significant":[44],"investigation.":[45],"This":[46,232],"study":[47],"addresses":[48],"this":[49],"challenge":[50],"by":[51,193,215,222],"proposing":[52],"novel":[54],"framework,":[55],"Symmetry":[57,71,185],"Alignment\u2013Feature":[58],"Interaction":[59,107,130,200,252],"Network,":[60,201],"designed":[61],"enhance":[63,124],"robustness.":[65],"proposed":[67,151],"network":[68],"incorporates":[69],"Alignment":[72,186],"Module,":[73,187],"leveraging":[74],"differentiable":[75],"geometric":[76],"alignment":[77],"dual-attention":[80],"mechanism":[81],"achieve":[83],"precise":[84],"feature":[85,125,229],"correspondence":[86],"ears,":[92],"thereby":[93],"mitigating":[94],"robustness":[96],"deficiencies":[97],"conventional":[99],"methods":[100],"under":[101],"pose":[102],"variations.":[103],"Additionally,":[104],"Feature":[106,129,199,251],"Network":[108],"is":[109],"introduced":[110],"amplify":[112],"nonlinear":[113],"interdependencies":[114],"binaural":[116],"features,":[117],"employing":[118],"difference\u2013product":[120],"dual-path":[121],"architecture":[122],"discriminability":[126],"through":[127],"Dual-Path":[128,250],"Similarity":[132,254],"Fusion.":[133],"Experimental":[134],"validation":[135],"on":[136],"dataset":[138],"from":[139],"University":[141],"Science":[143],"Technology":[145],"Beijing":[147],"demonstrates":[148],"that":[149],"method":[152],"achieves":[153],"similarity":[155,207],"detection":[156],"accuracy":[157],"99.03%":[159],"(a":[160],"9.11%":[161],"improvement":[162],"over":[163],"baseline":[165],"ResNet18)":[166],"an":[168],"F1":[169],"score":[170],"0.9252":[172],"in":[173,195],"tasks.":[176],"Ablation":[177],"experiments":[178],"further":[179],"confirm":[180],"efficacy":[182],"reducing":[188],"false":[190],"positive":[191,211],"rate":[192],"3.05%,":[194],"combination":[196],"with":[197,244,249],"shrinking":[202],"standard":[204],"deviation":[205],"distributions":[208],"negative":[213],"samples":[214],"67%.":[216],"A":[217],"multi-task":[218],"loss":[219],"function,":[220],"governed":[221],"dynamic":[224],"weighting":[225],"mechanism,":[226],"effectively":[227],"balances":[228],"learning":[230],"objectives.":[231],"work":[233],"establishes":[234],"new":[236],"paradigm":[237],"for":[238],"features":[243],"symmetry,":[245],"integrating":[246],"modeling":[248],"Fusion":[255],"advance":[257],"precision":[259],"authentication.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}