{"id":"https://openalex.org/W7133307573","doi":"https://doi.org/10.1109/ijcb65343.2025.11410849","title":"On the Feasibility of Detecting Fingerphoto Presentation Attacks using Multimodal Large Language Models","display_name":"On the Feasibility of Detecting Fingerphoto Presentation Attacks using Multimodal Large Language Models","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7133307573","doi":"https://doi.org/10.1109/ijcb65343.2025.11410849"},"language":null,"primary_location":{"id":"doi:10.1109/ijcb65343.2025.11410849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11410849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","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/A5031118344","display_name":"Hailin Li","orcid":"https://orcid.org/0000-0001-6924-9689"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Hailin Li","raw_affiliation_strings":["Norwegian University of Science and Technology,Gj&#x00F8;vik,Norway,2815"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Gj&#x00F8;vik,Norway,2815","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073391891","display_name":"Raghavendra Ramachandra","orcid":"https://orcid.org/0000-0003-0484-3956"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Raghavendra Ramachandra","raw_affiliation_strings":["Norwegian University of Science and Technology,Gj&#x00F8;vik,Norway,2815"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology,Gj&#x00F8;vik,Norway,2815","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063081359","display_name":"Narayan Vetrekar","orcid":"https://orcid.org/0000-0002-6921-6163"},"institutions":[{"id":"https://openalex.org/I140887281","display_name":"Goa University","ror":"https://ror.org/030reqw53","country_code":"IN","type":"education","lineage":["https://openalex.org/I140887281"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Narayan Vetrekar","raw_affiliation_strings":["Goa University,School of Physical and Applied Sciences,Goa,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goa University,School of Physical and Applied Sciences,Goa,India","institution_ids":["https://openalex.org/I140887281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127972825","display_name":"R.S. Gad","orcid":null},"institutions":[{"id":"https://openalex.org/I140887281","display_name":"Goa University","ror":"https://ror.org/030reqw53","country_code":"IN","type":"education","lineage":["https://openalex.org/I140887281"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R.S. Gad","raw_affiliation_strings":["Goa University,School of Physical and Applied Sciences,Goa,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Goa University,School of Physical and Applied Sciences,Goa,India","institution_ids":["https://openalex.org/I140887281"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66179963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.7024999856948853,"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":0.7024999856948853,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.04699999839067459,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.03779999911785126,"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/presentation","display_name":"Presentation (obstetrics)","score":0.7809000015258789},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6949999928474426},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6225000023841858},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4629000127315521},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44620001316070557}],"concepts":[{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.7809000015258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799000144004822},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6949999928474426},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6225000023841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194999814033508},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44620001316070557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44029998779296875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3962000012397766},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26809999346733093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb65343.2025.11410849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb65343.2025.11410849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2159577413","https://openalex.org/W2194775991","https://openalex.org/W2523479808","https://openalex.org/W2563686859","https://openalex.org/W2943861836","https://openalex.org/W4382053244","https://openalex.org/W4404238896","https://openalex.org/W4404239149","https://openalex.org/W4404239170","https://openalex.org/W4408458176","https://openalex.org/W4409917679","https://openalex.org/W4413018388","https://openalex.org/W4413925825","https://openalex.org/W7133224126"],"related_works":[],"abstract_inverted_index":{"Presentation":[0],"attack":[1,72],"detection":[2,105],"(PAD)":[3],"remains":[4],"a":[5,25,77],"key":[6],"challenge":[7],"in":[8,103],"contactless":[9],"fingerprint":[10],"recognition,":[11],"especially":[12,94],"with":[13,95],"the":[14,112,123],"rise":[15],"of":[16,70,114],"fingerphoto":[17],"based":[18],"authentication":[19],"using":[20,29],"smartphones.":[21],"This":[22],"work":[23],"introduces":[24],"novel":[26],"PAD":[27,120],"approach":[28],"multimodal":[30],"Large":[31],"Language":[32],"Models":[33],"(LLMs)":[34],"such":[35],"as":[36,116],"GPT-4o":[37],"and":[38,43,54,67,84,97,107,118,129],"Gemini":[39,101],"2.0":[40,102],"for":[41,125],"interpretable":[42],"data-efficient":[44],"spoof":[45,86],"detection.":[46],"We":[47],"assess":[48],"these":[49],"models":[50],"under":[51],"zero-shot,":[52],"few-shot,":[53],"chain-of-thought":[55],"(CoT)":[56],"prompting":[57],"to":[58,64],"evaluate":[59],"their":[60],"reasoning":[61],"ability,":[62],"generalization":[63],"unseen":[65],"attacks,":[66],"multi-class":[68],"classification":[69],"presentation":[71],"instruments":[73],"(PAIs).":[74],"Experiments":[75],"on":[76],"newly":[78],"collected":[79],"dataset":[80],"(300":[81],"bona":[82],"fide":[83],"1200":[85],"samples":[87],"across":[88],"four":[89],"PAIs)":[90],"show":[91],"that":[92],"GPT-4o,":[93],"CoT":[96],"few-shot":[98],"prompting,":[99],"outperforms":[100],"both":[104],"accuracy":[106],"interpretability.":[108],"These":[109],"results":[110],"highlight":[111],"potential":[113],"LLMs":[115],"generalizable":[117],"explainable":[119],"solutions,":[121],"minimizing":[122],"need":[124],"large":[126],"annotated":[127],"datasets":[128],"domain-specific":[130],"models.":[131]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-04T00:00:00"}
