{"id":"https://openalex.org/W4385624842","doi":"https://doi.org/10.1109/newcas57931.2023.10198184","title":"Low Temperature and Dry Fingerprint Restoration with Ridge Loss and Orientation","display_name":"Low Temperature and Dry Fingerprint Restoration with Ridge Loss and Orientation","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385624842","doi":"https://doi.org/10.1109/newcas57931.2023.10198184"},"language":"en","primary_location":{"id":"doi:10.1109/newcas57931.2023.10198184","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/newcas57931.2023.10198184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","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/A5033370387","display_name":"Hsueh-Kai Kuo","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":"Hsueh-Kai Kuo","raw_affiliation_strings":["National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","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":["National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109628652","display_name":"Lien-Chieh Huang","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":"Lien-Chieh Huang","raw_affiliation_strings":["National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, 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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08603082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"5"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9817000031471252,"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":0.9677000045776367,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.8224548101425171},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.7818812131881714},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7698060274124146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7412661910057068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.726023256778717},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6855639219284058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6404790878295898},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6355085372924805},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.54939866065979},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.4309025704860687},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4152982831001282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40768754482269287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12106335163116455}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8224548101425171},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.7818812131881714},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7698060274124146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412661910057068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.726023256778717},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6855639219284058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6404790878295898},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6355085372924805},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.54939866065979},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.4309025704860687},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4152982831001282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40768754482269287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12106335163116455},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas57931.2023.10198184","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/newcas57931.2023.10198184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","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":25,"referenced_works":["https://openalex.org/W1569096659","https://openalex.org/W1963765109","https://openalex.org/W2026636863","https://openalex.org/W2118498934","https://openalex.org/W2127717018","https://openalex.org/W2133059825","https://openalex.org/W2142481374","https://openalex.org/W2146337213","https://openalex.org/W2471801048","https://openalex.org/W2520164769","https://openalex.org/W2577422798","https://openalex.org/W2748806792","https://openalex.org/W2756537198","https://openalex.org/W2908705871","https://openalex.org/W2963420272","https://openalex.org/W2964309429","https://openalex.org/W2982389402","https://openalex.org/W2999545200","https://openalex.org/W3102039915","https://openalex.org/W3173372951","https://openalex.org/W3210347623","https://openalex.org/W6681686951","https://openalex.org/W6720275808","https://openalex.org/W6726381175","https://openalex.org/W6742810386"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2136721862","https://openalex.org/W3037288134","https://openalex.org/W1540357037","https://openalex.org/W3141678744","https://openalex.org/W2566091814","https://openalex.org/W2402943064","https://openalex.org/W3169072271","https://openalex.org/W2037502770","https://openalex.org/W2004286807"],"abstract_inverted_index":{"The":[0,136,181],"use":[1],"of":[2,13,26,32,70,100,183,198],"biometrics":[3],"for":[4,119],"identity":[5],"recognition":[6],"is":[7,54,169,201],"currently":[8],"used":[9],"in":[10,106,133],"many":[11],"areas":[12],"daily":[14],"life.":[15],"Among":[16],"all":[17],"biometrics,":[18],"fingerprints":[19,200],"have":[20,57,163],"properties":[21],"like":[22],"high":[23],"reliability,":[24],"ease":[25],"obtainment,":[27],"economic":[28],"viability,":[29],"and":[30,102,129,177],"convenience":[31],"use.":[33],"But":[34,85,193],"defective":[35,128],"fingerprint":[36,50,63,71,79,131,155],"captured":[37],"by":[38,203],"the":[39,68,98,107,117,120,124,140,184,194],"sensor":[40],"from":[41,173,179],"poor":[42],"condition":[43],"finger":[44],"may":[45],"cause":[46],"incorrect":[47],"results":[48,148],"on":[49,166],"identification.":[51,72],"Therefore,":[52],"it":[53],"important":[55],"to":[56,66,77,122],"a":[58,143],"preprocessing":[59],"method":[60,138,186],"that":[61,150],"performs":[62],"image":[64],"restoration":[65],"enhance":[67],"performance":[69],"Recently,":[73],"using":[74,112],"machine":[75],"learning":[76],"perform":[78],"enhancement":[80],"has":[81],"made":[82],"great":[83],"progress.":[84],"most":[86],"works":[87],"today":[88],"train":[89],"their":[90],"model":[91,121,141],"with":[92,142],"synthetic":[93,113],"training":[94,109,145],"datasets.":[95],"This":[96],"avoids":[97],"problem":[99],"misalignment":[101],"ridge":[103],"pattern":[104],"inconsistency":[105],"real":[108,160],"dataset.":[110],"However,":[111],"datasets":[114],"also":[115],"loses":[116],"opportunity":[118],"find":[123],"mapping":[125],"relation":[126],"between":[127],"ideal":[130],"images":[132],"real-life":[134],"situations.":[135],"proposed":[137,185],"trains":[139],"2-stage":[144],"method.":[146],"Experimental":[147],"show":[149],"we":[151,162],"can":[152],"effectively":[153],"improve":[154],"identification":[156],"accuracy.":[157],"On":[158],"FVC2002":[159],"dataset,":[161],"achieved":[164],"0.017EER":[165],"DB1_A,":[167],"which":[168],"better":[170],"than":[171,190],"0.18%":[172],"Wong":[174],"et":[175],"al.":[176],"0.57%":[178],"BaseNet.":[180,192],"parameters":[182],"are":[187],"16.6%":[188],"more":[189],"single-stage":[191],"false":[195],"reject":[196],"count":[197],"wrong-matched":[199],"reduced":[202],"78.7%.":[204]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}