{"id":"https://openalex.org/W2402684765","doi":"https://doi.org/10.1109/icassp.2016.7472049","title":"Fingerprint recognition with ridge features and minutiae on distortion","display_name":"Fingerprint recognition with ridge features and minutiae on distortion","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402684765","doi":"https://doi.org/10.1109/icassp.2016.7472049","mag":"2402684765"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021044955","display_name":"Chu-Chiao Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chu-Chiao Liao","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016723773","display_name":"Ching\u2010Te Chiu","orcid":"https://orcid.org/0000-0003-2818-1125"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Te Chiu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2109","last_page":"2113"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9592000246047974,"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":0.9551395177841187},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.8438150882720947},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7423239946365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6516400575637817},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6492023468017578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6336945295333862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979183316230774},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5761488676071167},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5661545991897583},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5650264024734497},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4775201380252838},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4384012520313263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3686332106590271},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.234421044588089},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21214082837104797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11182546615600586},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0631173849105835},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.05762240290641785}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.9551395177841187},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.8438150882720947},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7423239946365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6516400575637817},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6492023468017578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6336945295333862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979183316230774},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5761488676071167},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5661545991897583},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5650264024734497},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4775201380252838},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4384012520313263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3686332106590271},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.234421044588089},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21214082837104797},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11182546615600586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0631173849105835},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.05762240290641785},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2014470493","https://openalex.org/W2024316257","https://openalex.org/W2096023444","https://openalex.org/W2101576074","https://openalex.org/W2108048356","https://openalex.org/W2118498934","https://openalex.org/W2126071741","https://openalex.org/W2131635096","https://openalex.org/W2134996574","https://openalex.org/W2145262111","https://openalex.org/W2158101450","https://openalex.org/W2160367574","https://openalex.org/W2536061693","https://openalex.org/W6679531596","https://openalex.org/W6681599561"],"related_works":["https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2020992254","https://openalex.org/W2565799042","https://openalex.org/W2122988758","https://openalex.org/W2126450185","https://openalex.org/W2082047178","https://openalex.org/W3169072271","https://openalex.org/W2136721862","https://openalex.org/W1981872252"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5],"new":[6],"fingerprint":[7,76],"matching":[8,110],"method":[9,73,85,99,111],"which":[10],"combines":[11],"different":[12,52],"features,":[13],"including":[14],"minutiae":[15],"and":[16,30],"ridge":[17,20,23,25,27,31,34],"features.":[18],"The":[19,43,83,92],"features":[21,35,48],"contain":[22],"count,":[24],"length,":[26],"curvature":[28],"direction":[29],"frequency.":[32],"All":[33],"are":[36,49,63],"extracted":[37],"in":[38],"blocks":[39],"around":[40],"each":[41],"minutia.":[42],"similarity":[44],"scores":[45],"of":[46,59,96,107],"the":[47,56,66,71,97,103,108],"summed":[50],"with":[51,74],"weighting":[53],"values":[54],"as":[55],"final":[57],"score":[58],"two":[60],"fingerprints.":[61],"Experiments":[62],"conducted":[64],"on":[65,78],"FVC2002":[67],"database":[68],"to":[69],"compare":[70],"proposed":[72,84,98],"other":[75,90],"methods":[77],"equal":[79],"error":[80],"rate":[81],"(EER).":[82],"achieves":[86],"better":[87],"performance":[88],"than":[89],"methods.":[91],"average":[93,104],"EER":[94,105],"value":[95,106],"is":[100,112],"0.82":[101],"whereas":[102],"conventional":[109],"8.12.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
