{"id":"https://openalex.org/W2943782015","doi":"https://doi.org/10.1109/iscas.2019.8702250","title":"An Adaptive Shuttering Scheme for Speed-Artifact-Free Swipe Fingerprint Sensor","display_name":"An Adaptive Shuttering Scheme for Speed-Artifact-Free Swipe Fingerprint Sensor","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943782015","doi":"https://doi.org/10.1109/iscas.2019.8702250","mag":"2943782015"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100452156","display_name":"Sang-Woo Kim","orcid":"https://orcid.org/0000-0001-6083-6262"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sangwoo Kim","raw_affiliation_strings":["School of Integrated Technology, Yonsei University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100895869","display_name":"Gunhee Han","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gunhee Han","raw_affiliation_strings":["School of Integrated Technology, Yonsei University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100452156"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.1079,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4096163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"99","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/swipe","display_name":"SwIPe","score":0.7384219169616699},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6970432996749878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219139099121094},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5859371423721313},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5386239290237427},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.5131221413612366},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5016331672668457},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.479786217212677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47393494844436646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45518678426742554},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4425158202648163},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.43848133087158203},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4219011664390564},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4188612699508667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30917423963546753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12353798747062683},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11845636367797852}],"concepts":[{"id":"https://openalex.org/C2779623668","wikidata":"https://www.wikidata.org/wiki/Q7652842","display_name":"SwIPe","level":2,"score":0.7384219169616699},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6970432996749878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219139099121094},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5859371423721313},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5386239290237427},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.5131221413612366},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5016331672668457},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.479786217212677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47393494844436646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45518678426742554},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4425158202648163},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.43848133087158203},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4219011664390564},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4188612699508667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30917423963546753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12353798747062683},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11845636367797852},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2019.8702250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2037701618","https://openalex.org/W2080214472","https://openalex.org/W2097892477","https://openalex.org/W2127184739","https://openalex.org/W2290972699","https://openalex.org/W2703065098","https://openalex.org/W7035634031"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"adaptive":[4,50],"shuttering":[5,18],"scheme":[6,51],"to":[7,54,59],"overcome":[8],"the":[9,73,86],"speed":[10],"dependent":[11],"distortion":[12],"in":[13],"swipe-type":[14,56],"fingerprint":[15,57],"sensor.":[16],"Adaptive":[17],"is":[19,44,76],"achieved":[20],"by":[21],"displacement":[22],"measurement":[23],"based":[24],"on":[25],"pattern":[26,41],"matching":[27,42],"for":[28],"two":[29,34],"line":[30],"images":[31],"obtained":[32],"from":[33],"rows":[35],"of":[36,72,96],"pixels.":[37],"A":[38],"compact,":[39],"low-power":[40],"circuit":[43],"proposed":[45,49],"as":[46],"well.":[47],"The":[48,61,69],"was":[52,63],"adopted":[53],"optical":[55],"sensor":[58,62,75],"verify.":[60],"fabricated":[64],"with":[65,92],"90nm":[66],"CMOS":[67],"process.":[68],"total":[70],"area":[71],"prototype":[74,87],"only":[77],"3200\u03bcm\u00d7160\u03bcm":[78],"and":[79],"consumes":[80],"3.2mW.":[81],"Experimental":[82],"results":[83],"demonstrate":[84],"that":[85],"chip":[88],"produces":[89],"speed-artifact-free":[90],"image":[91],"40\u03bcm\u00d740\u03bcm":[93],"resolution":[94],"despite":[95],"irregular":[97],"finger":[98],"motion.":[99]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}