{"id":"https://openalex.org/W1485607686","doi":"https://doi.org/10.1109/icb.2015.7139100","title":"k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection","display_name":"k-Nearest Neighborhood Structure (k-NNS) based alignment-free method for fingerprint template protection","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1485607686","doi":"https://doi.org/10.1109/icb.2015.7139100","mag":"1485607686"},"language":"en","primary_location":{"id":"doi:10.1109/icb.2015.7139100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2015.7139100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5020605315","display_name":"Mulagala Sandhya","orcid":"https://orcid.org/0000-0003-2149-8584"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]},{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mulagala Sandhya","raw_affiliation_strings":["Institute for Development and Research in Banking Technology, Hyderabad, India","School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Development and Research in Banking Technology, Hyderabad, India","institution_ids":["https://openalex.org/I150312865"]},{"raw_affiliation_string":"School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069043950","display_name":"Munaga V. N. K. Prasad","orcid":"https://orcid.org/0000-0002-5560-7649"},"institutions":[{"id":"https://openalex.org/I150312865","display_name":"Institute for Development and Research in Banking Technology","ror":"https://ror.org/00ta0g865","country_code":"IN","type":"government","lineage":["https://openalex.org/I150312865"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Munaga V.N.K Prasad","raw_affiliation_strings":["Institute for Development and Research in Banking Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Development and Research in Banking Technology, Hyderabad, India","institution_ids":["https://openalex.org/I150312865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7993,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96595549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9785000085830688,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.811577320098877},{"id":"https://openalex.org/keywords/bit-array","display_name":"Bit array","score":0.7543309926986694},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.672068178653717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6469839811325073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5572404265403748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382810235023499},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5343315601348877},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.49347174167633057},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.48036250472068787},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.45814770460128784},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4533592164516449},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42082178592681885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3896978199481964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2956233620643616},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05966368317604065}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.811577320098877},{"id":"https://openalex.org/C150807984","wikidata":"https://www.wikidata.org/wiki/Q1992074","display_name":"Bit array","level":3,"score":0.7543309926986694},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.672068178653717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6469839811325073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5572404265403748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382810235023499},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5343315601348877},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.49347174167633057},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.48036250472068787},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.45814770460128784},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4533592164516449},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42082178592681885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3896978199481964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2956233620643616},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05966368317604065},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb.2015.7139100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2015.7139100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W86398923","https://openalex.org/W1603625628","https://openalex.org/W1963765109","https://openalex.org/W1989602801","https://openalex.org/W1991280936","https://openalex.org/W2015867063","https://openalex.org/W2032102966","https://openalex.org/W2035092087","https://openalex.org/W2041942569","https://openalex.org/W2050955476","https://openalex.org/W2057711921","https://openalex.org/W2074078450","https://openalex.org/W2097274461","https://openalex.org/W2115063439","https://openalex.org/W2118944716","https://openalex.org/W2125587922","https://openalex.org/W2146112636","https://openalex.org/W2159577413","https://openalex.org/W2163208397"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2017764875","https://openalex.org/W2087945608","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W1676325688","https://openalex.org/W3037288134","https://openalex.org/W2082047178"],"abstract_inverted_index":{"In":[0],"this":[1,59],"paper":[2],"we":[3],"focus":[4],"on":[5,94],"constructing":[6],"k-Nearest":[7],"Neighborhood":[8],"Structure(k":[9],"-":[10,28],"NNS)":[11],"for":[12],"minutiae":[13,21,39],"points":[14],"in":[15,23,108],"a":[16,24,26,48,53,65,69,79],"fingerprint":[17],"image.":[18],"For":[19],"each":[20],"point":[22],"fingerprint,":[25],"k":[27],"NNS":[29],"is":[30,43,62,76],"constructed":[31],"taking":[32],"the":[33,73,86,102,105],"local":[34],"and":[35,45,98,119],"global":[36],"features":[37],"of":[38,104,110,112],"points.":[40],"This":[41],"structure":[42],"quantized":[44],"mapped":[46],"onto":[47],"2D":[49],"array":[50],"to":[51,67,84],"generate":[52,68,85],"fixed":[54],"length":[55],"1D":[56],"bit-string.":[57],"Further":[58],"bit":[60],"string":[61],"applied":[63],"with":[64],"DFT":[66],"complex":[70,74],"vector.":[71],"Finally":[72],"vector":[75],"multiplied":[77],"by":[78],"user":[80],"specific":[81],"random":[82],"matrix":[83],"cancelable":[87,113],"template.":[88],"We":[89],"tested":[90],"our":[91],"proposed":[92,106],"method":[93,107],"database":[95],"FV":[96],"C2002":[97],"experimental":[99],"results":[100],"depicts":[101],"validity":[103],"terms":[109],"requirements":[111],"biometrics":[114],"namely":[115],"diversity,":[116],"accuracy,":[117],"irreversibility":[118],"revocability.":[120]},"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":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}