{"id":"https://openalex.org/W2891340969","doi":"https://doi.org/10.1109/icassp.2018.8461885","title":"PVDC: A Binary Descriptor Using Pore-Valley Disk Code Structure for High-Resolution Partial Fingerprint Recognition","display_name":"PVDC: A Binary Descriptor Using Pore-Valley Disk Code Structure for High-Resolution Partial Fingerprint Recognition","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891340969","doi":"https://doi.org/10.1109/icassp.2018.8461885","mag":"2891340969"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5029562574","display_name":"Pei-Yin Chou","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":"Pei-Yin Chou","raw_affiliation_strings":["Institute of Information Systems and Applications, National Tsing-Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing-Hua University, Taiwan","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":["Institute of Information Systems and Applications, National Tsing-Hua University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing-Hua University, Taiwan","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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1135","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9995999932289124,"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":0.9995999932289124,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.958899974822998,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.6976016759872437},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6103659272193909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062100529670715},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5920712947845459},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5734052658081055},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5563595294952393},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5452972650527954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244505405426025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805460572242737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46682992577552795},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4641709327697754},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4291912913322449},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23407000303268433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20954707264900208},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.16881880164146423},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08327218890190125}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6976016759872437},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6103659272193909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062100529670715},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5920712947845459},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5734052658081055},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5563595294952393},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5452972650527954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244505405426025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805460572242737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46682992577552795},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4641709327697754},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4291912913322449},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23407000303268433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20954707264900208},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.16881880164146423},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08327218890190125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W159109083","https://openalex.org/W1927424322","https://openalex.org/W1978878675","https://openalex.org/W1993921692","https://openalex.org/W2017274764","https://openalex.org/W2045678056","https://openalex.org/W2046832950","https://openalex.org/W2048425530","https://openalex.org/W2071203477","https://openalex.org/W2124618836","https://openalex.org/W2125785363","https://openalex.org/W2133393105","https://openalex.org/W2158359334","https://openalex.org/W2160367574","https://openalex.org/W2396801560","https://openalex.org/W2549020273","https://openalex.org/W4230579564","https://openalex.org/W6606479176","https://openalex.org/W6644702885","https://openalex.org/W6678354960","https://openalex.org/W6729537576"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327","https://openalex.org/W1621827506","https://openalex.org/W289790619"],"abstract_inverted_index":{"Plenty":[0],"of":[1,7,31,52,82,94],"pores":[2],"can":[3,100,118],"solve":[4],"the":[5,20,49,71,77,90,103,110,115,130],"lack":[6],"feature":[8,32],"points":[9,33],"problem":[10],"on":[11],"high-resolution":[12],"partial":[13],"fingerprints.":[14],"Pore-based":[15],"features":[16,23],"are":[17,24],"similar,":[18],"so":[19],"neighbor":[21,58],"ridge":[22,104],"also":[25],"taken":[26],"into":[27],"account.":[28],"However,":[29],"lots":[30],"cause":[34],"heavy":[35],"computation":[36],"required.":[37],"We":[38],"propose":[39],"a":[40,53],"binary":[41,113],"descriptor,":[42],"Pore-Valley":[43],"Disk":[44],"Code":[45],"(PVDC),":[46],"which":[47],"encodes":[48],"local":[50],"structure":[51,105],"center":[54,78],"pore":[55,79],"and":[56,92],"its":[57],"valleys":[59,96],"with":[60,106,129,140],"an":[61],"eight-section":[62],"disk.":[63],"The":[64,122],"proposed":[65,111,123],"descriptor":[66],"is":[67],"rotational":[68],"invariant":[69],"since":[70],"first":[72],"section":[73,99],"always":[74],"aligns":[75],"to":[76],"orientation.":[80],"Instead":[81],"recording":[83],"pixel":[84],"by":[85],"pixel,":[86],"we":[87],"find":[88],"that":[89],"direction":[91],"distance":[93],"intersected":[95],"in":[97,143],"each":[98],"efficiently":[101],"represent":[102],"reduced":[107],"computation.":[108],"With":[109],"fixed-length":[112],"code,":[114],"matching":[116],"time":[117],"be":[119],"significantly":[120],"reduced.":[121],"method":[124,139],"has":[125],"160x":[126],"speedup":[127],"compared":[128],"state-of-the-art":[131],"pore-based":[132],"Sparse":[133],"Representation":[134],"based":[135],"Direct":[136],"Pore":[137],"(SRDP)":[138],"reasonable":[141],"EER":[142],"HRF":[144],"DBI":[145],"database.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}