{"id":"https://openalex.org/W2150212713","doi":"https://doi.org/10.1142/s0218001412560022","title":"A NOVEL METHOD USING VIDEOS FOR FINGERPRINT VERIFICATION","display_name":"A NOVEL METHOD USING VIDEOS FOR FINGERPRINT VERIFICATION","publication_year":2012,"publication_date":"2012-01-16","ids":{"openalex":"https://openalex.org/W2150212713","doi":"https://doi.org/10.1142/s0218001412560022","mag":"2150212713"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412560022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412560022","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5075392991","display_name":"Qin Wei","orcid":"https://orcid.org/0000-0002-5022-776X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"WEI QIN","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, 250101, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, 250101, P. R. China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672590","display_name":"Yilong Yin","orcid":"https://orcid.org/0000-0002-8465-1294"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YILONG YIN","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, 250101, P. R. China","Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics, Jinan, 250014, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, 250101, P. R. China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics, Jinan, 250014, P. R. China","institution_ids":["https://openalex.org/I59483232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100672590"],"corresponding_institution_ids":["https://openalex.org/I154099455","https://openalex.org/I59483232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19317305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"01","first_page":"1256002","last_page":"1256002"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9782999753952026,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.967199981212616,"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":0.8937857151031494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8292230367660522},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.808666467666626},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.793673574924469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7193400859832764},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6515973806381226},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6246658563613892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5631705522537231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.551206648349762},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5345313549041748},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.42502737045288086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39107978343963623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13102924823760986}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8937857151031494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292230367660522},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.808666467666626},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.793673574924469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7193400859832764},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6515973806381226},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6246658563613892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5631705522537231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.551206648349762},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5345313549041748},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.42502737045288086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39107978343963623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13102924823760986},{"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:10.1142/s0218001412560022","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412560022","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1498581672","https://openalex.org/W1519435346","https://openalex.org/W1603495404","https://openalex.org/W1639795441","https://openalex.org/W1982107991","https://openalex.org/W1993921692","https://openalex.org/W2014470493","https://openalex.org/W2021170631","https://openalex.org/W2034473161","https://openalex.org/W2038588823","https://openalex.org/W2045678056","https://openalex.org/W2048425530","https://openalex.org/W2049352663","https://openalex.org/W2055841082","https://openalex.org/W2083867982","https://openalex.org/W2093354131","https://openalex.org/W2104145305","https://openalex.org/W2109131581","https://openalex.org/W2113774093","https://openalex.org/W2127717018","https://openalex.org/W2152535543","https://openalex.org/W2153063803","https://openalex.org/W2153720729","https://openalex.org/W2158359334","https://openalex.org/W2170603111","https://openalex.org/W2184507441","https://openalex.org/W2295366950","https://openalex.org/W3152157565"],"related_works":["https://openalex.org/W4200422973","https://openalex.org/W2350223345","https://openalex.org/W2146126086","https://openalex.org/W2399348932","https://openalex.org/W2051294001","https://openalex.org/W2122988758","https://openalex.org/W2187019478","https://openalex.org/W2137512496","https://openalex.org/W2588889495","https://openalex.org/W1502375461"],"abstract_inverted_index":{"Traditional":[0],"fingerprint":[1,29,40,58,71],"verifications":[2],"use":[3,26,34,48],"single":[4,100],"image":[5],"for":[6,28],"matching.":[7],"However,":[8],"the":[9,14,36,49,54,65,79,96],"verification":[10],"accuracy":[11,94],"cannot":[12],"meet":[13],"need":[15],"of":[16,35,68],"some":[17],"application":[18],"domains.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,42],"propose":[24],"to":[25,47,77],"videos":[27,72],"verification.":[30],"To":[31],"take":[32],"full":[33],"information":[37,56],"contained":[38],"in":[39,57],"videos,":[41],"present":[43],"a":[44],"novel":[45],"method":[46,90,97],"dynamic":[50],"as":[51,53],"well":[52],"static":[55],"videos.":[59,84],"After":[60],"preprocessing":[61],"and":[62,75],"aligning":[63],"processes,":[64],"Inclusion":[66],"Ratio":[67],"two":[69,83],"matching":[70],"is":[73],"calculated":[74],"used":[76],"represent":[78],"similarity":[80],"between":[81],"these":[82],"Experimental":[85],"results":[86],"show":[87],"that":[88],"video-based":[89],"can":[91],"access":[92],"better":[93],"than":[95],"based":[98],"on":[99],"fingerprint.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}