{"id":"https://openalex.org/W2517613247","doi":"https://doi.org/10.1109/icb.2016.7550093","title":"Methodology for partial fingerprint enrollment and authentication on mobile devices","display_name":"Methodology for partial fingerprint enrollment and authentication on mobile devices","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2517613247","doi":"https://doi.org/10.1109/icb.2016.7550093","mag":"2517613247"},"language":"en","primary_location":{"id":"doi:10.1109/icb.2016.7550093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2016.7550093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Biometrics (ICB)","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/A5103097977","display_name":"Surbhi Mathur","orcid":"https://orcid.org/0009-0009-7379-8555"},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Surbhi Mathur","raw_affiliation_strings":["Samsung R&D Institute, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043038894","display_name":"Ankit Vjay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankit Vjay","raw_affiliation_strings":["Samsung R&D Institute India - Bangalore, Bangalore, Karnataka, IN"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute India - Bangalore, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032902970","display_name":"Jidnya Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jidnya Shah","raw_affiliation_strings":["Samsung R&D Institute, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101086243","display_name":"Shreyasi Das","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shreyasi Das","raw_affiliation_strings":["Samsung R&D Institute, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965885","display_name":"Adil Hamid Malla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Adil Malla","raw_affiliation_strings":["Samsung R&D Institute, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute, Bangalore, India","institution_ids":["https://openalex.org/I4210139030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103097977"],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":5.8002,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.9685602,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9799000024795532,"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/T10057","display_name":"Face and Expression Recognition","score":0.9768999814987183,"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/minutiae","display_name":"Minutiae","score":0.8919309377670288},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8646037578582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7494848966598511},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6419363021850586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6247246861457825},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.597313404083252},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5876750349998474},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.5453940033912659},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5413934588432312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5166904926300049},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5044914484024048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49477237462997437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1623782217502594}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.8919309377670288},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8646037578582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494848966598511},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6419363021850586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6247246861457825},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.597313404083252},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5876750349998474},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.5453940033912659},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5413934588432312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5166904926300049},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5044914484024048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49477237462997437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1623782217502594},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb.2016.7550093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2016.7550093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1509107775","https://openalex.org/W1525474040","https://openalex.org/W1677409904","https://openalex.org/W2048710758","https://openalex.org/W2079129408","https://openalex.org/W2090069250","https://openalex.org/W2095260419","https://openalex.org/W2118498934","https://openalex.org/W2131372145","https://openalex.org/W2135211131","https://openalex.org/W2142481374","https://openalex.org/W2150134853","https://openalex.org/W2151103935","https://openalex.org/W2549020273","https://openalex.org/W2913429812","https://openalex.org/W6674432551","https://openalex.org/W6759057345"],"related_works":["https://openalex.org/W2122988758","https://openalex.org/W2136721862","https://openalex.org/W3037288134","https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W3141678744","https://openalex.org/W3169072271","https://openalex.org/W2037502770","https://openalex.org/W2004286807","https://openalex.org/W2565799042"],"abstract_inverted_index":{"The":[0],"reduced":[1],"platen":[2],"area":[3,22,44],"of":[4,13,30,58,62,125,127],"fingerprint":[5,17,64,73,126],"sensors":[6,23,46],"in":[7,11],"mobile":[8],"devices":[9],"results":[10],"acquisition":[12],"partial":[14],"fingerprints.":[15],"Existing":[16],"enrollment":[18,40],"schemes":[19],"for":[20,42,71,119],"small":[21,43],"are":[24],"tedious":[25],"and":[26,95,122,134],"have":[27],"an":[28],"uncertainty":[29],"complete":[31],"finger":[32,49],"coverage":[33,50],"during":[34],"scanning.":[35],"We":[36],"propose":[37,77],"a":[38,78,105],"novel":[39],"protocol":[41],"rectangular":[45],"that":[47,81,99],"maximizes":[48],"within":[51],"few":[52],"scans.":[53],"Also,":[54],"due":[55],"to":[56],"presence":[57],"insufficient":[59],"minutiae,":[60],"accuracy":[61],"minutiae-based":[63],"matching":[65,79,124],"algorithms":[66],"degrades":[67],"significantly":[68],"when":[69],"applied":[70],"partial-to-partial":[72],"matching.":[74],"Instead,":[75],"we":[76],"algorithm":[80],"utilizes":[82],"multi-scale":[83],"texture":[84],"descriptors,":[85],"namely,":[86],"Accelerated":[87],"KAZE":[88],"(A-KAZE).":[89],"Experiments":[90],"on":[91],"FVC":[92],"2000,":[93],"2002":[94],"in-house":[96],"databases":[97],"indicate":[98],"A-KAZE":[100],"gives":[101],"promising":[102],"accuracy.":[103],"On":[104],"Samsung":[106],"Galaxy":[107],"Note":[108],"II":[109],"N7100":[110],"(Quad-core":[111],"1.6":[112],"GHz,":[113],"2GB":[114],"RAM),":[115],"average":[116],"time":[117],"taken":[118],"template":[120],"generation":[121],"1\u22361":[123],"size":[128],"237\u00d7117":[129],"pixels":[130],"is":[131],"86":[132],"ms":[133,136],"19":[135],"respectively.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}