{"id":"https://openalex.org/W2611126196","doi":"https://doi.org/10.1145/3056662.3056703","title":"Study on thresholding operation for efficient 1:N matching scheme of fingerprint identification","display_name":"Study on thresholding operation for efficient 1:N matching scheme of fingerprint identification","publication_year":2017,"publication_date":"2017-02-26","ids":{"openalex":"https://openalex.org/W2611126196","doi":"https://doi.org/10.1145/3056662.3056703","mag":"2611126196"},"language":"en","primary_location":{"id":"doi:10.1145/3056662.3056703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3056662.3056703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Software and Computer Applications","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/A5034558351","display_name":"Young-Jin Goh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086533","display_name":"Suncheon Jeil College","ror":"https://ror.org/0014sb331","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210086533"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young-Jin Goh","raw_affiliation_strings":["Suncheon Jeil College, Suncheon City, South Korea"],"affiliations":[{"raw_affiliation_string":"Suncheon Jeil College, Suncheon City, South Korea","institution_ids":["https://openalex.org/I4210086533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067613350","display_name":"Buhm Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Buhm Lee","raw_affiliation_strings":["Chonnam National Univ., Yeosu City, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National Univ., Yeosu City, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101703276","display_name":"Kyoung-Min Kim","orcid":"https://orcid.org/0000-0001-5146-126X"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung-Min Kim","raw_affiliation_strings":["Chonnam National Univ., Yeosu City, South Korea"],"affiliations":[{"raw_affiliation_string":"Chonnam National Univ., Yeosu City, South Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034558351"],"corresponding_institution_ids":["https://openalex.org/I4210086533"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0355344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9380999803543091,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9214000105857849,"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":0.941787600517273},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.8443090915679932},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7544947862625122},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6719107031822205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.629983127117157},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5945708155632019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908474326133728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5744707584381104},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4913546144962311},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.48914578557014465},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4588059186935425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36010703444480896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10587993264198303},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08987811207771301}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.941787600517273},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.8443090915679932},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7544947862625122},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6719107031822205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.629983127117157},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5945708155632019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908474326133728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5744707584381104},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4913546144962311},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.48914578557014465},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4588059186935425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36010703444480896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10587993264198303},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08987811207771301},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3056662.3056703","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3056662.3056703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Software and Computer Applications","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":9,"referenced_works":["https://openalex.org/W163774565","https://openalex.org/W1533413800","https://openalex.org/W1639795441","https://openalex.org/W1967790662","https://openalex.org/W1989409369","https://openalex.org/W2032167559","https://openalex.org/W2094214226","https://openalex.org/W2401926675","https://openalex.org/W4230579564"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2122988758","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W1676325688","https://openalex.org/W3037288134","https://openalex.org/W2082047178","https://openalex.org/W2087945608"],"abstract_inverted_index":{"Usually,":[0],"in":[1,50],"the":[2,23,38,51,57,64,74,81,95,108,115,123,126],"minutiae-based":[3],"matching":[4,7,43,49,54,71,76,104,112],"scheme,":[5,55],"fingerprint":[6,35,53,103],"score":[8,44,72],"could":[9],"be":[10],"calculated":[11],"by":[12,47,73,80],"analyzing":[13],"geometrical":[14,24],"similarity":[15,25,58],"between":[16,26,59],"minutiae":[17],"from":[18],"two":[19,60,87],"fingerprints.":[20],"To":[21,93],"calculate":[22],"them,":[27],"it":[28,85],"is":[29,45,77],"necessary":[30],"to":[31],"previously":[32],"align":[33],"a":[34],"data":[36],"with":[37,63,90],"other":[39],"one.":[40],"The":[41,68,119],"final":[42],"obtained":[46],"bidirectional":[48,75,111],"common":[52],"because":[56],"fingerprints":[61,117],"varies":[62],"result":[65,121],"of":[66,70,110,125],"alignments.":[67],"reliability":[69],"better":[78],"than":[79],"unidirectional":[82,91],"matching,":[83],"but,":[84],"takes":[86],"times":[88],"comparing":[89],"matching.":[92],"solve":[94],"problem,":[96],"this":[97],"paper":[98],"proposes":[99],"an":[100],"efficient":[101],"1:N":[102],"scheme":[105],"based":[106],"on":[107],"distribution":[109],"scores":[113],"for":[114],"large":[116],"database.":[118],"experimental":[120],"shows":[122],"usefulness":[124],"proposed":[127],"scheme.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
