{"id":"https://openalex.org/W3216431398","doi":"https://doi.org/10.1109/icce-tw52618.2021.9602902","title":"Meticulous Alignment for On-Display Fingerprint Sensor on Smartphone","display_name":"Meticulous Alignment for On-Display Fingerprint Sensor on Smartphone","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3216431398","doi":"https://doi.org/10.1109/icce-tw52618.2021.9602902","mag":"3216431398"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw52618.2021.9602902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9602902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","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/A5039295307","display_name":"Yung-Zhe Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yung-Zhe Wu","raw_affiliation_strings":["National University of Kaohsiung"],"affiliations":[{"raw_affiliation_string":"National University of Kaohsiung","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041169094","display_name":"Huei-Ming Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Huei-Ming Wu","raw_affiliation_strings":["National University of Kaohsiung"],"affiliations":[{"raw_affiliation_string":"National University of Kaohsiung","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008432754","display_name":"Pei\u2010Yung Hsiao","orcid":"https://orcid.org/0000-0003-1750-7118"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yung Hsiao","raw_affiliation_strings":["National University of Kaohsiung"],"affiliations":[{"raw_affiliation_string":"National University of Kaohsiung","institution_ids":["https://openalex.org/I192168892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039295307"],"corresponding_institution_ids":["https://openalex.org/I192168892"],"apc_list":null,"apc_paid":null,"fwci":0.1524,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47018256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10843","issue":null,"first_page":"1","last_page":"2"},"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":0.9818999767303467,"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":0.9779000282287598,"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":0.8618168234825134},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.8472223281860352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7743478417396545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6599012613296509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6113001704216003},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.589604914188385},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5676751732826233},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.4859544038772583},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46101370453834534},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.43886247277259827},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4132442772388458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35477006435394287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09317705035209656}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8618168234825134},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.8472223281860352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7743478417396545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6599012613296509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6113001704216003},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.589604914188385},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5676751732826233},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.4859544038772583},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46101370453834534},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.43886247277259827},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4132442772388458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35477006435394287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09317705035209656},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw52618.2021.9602902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9602902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1779348953","https://openalex.org/W1975225557","https://openalex.org/W2564853747","https://openalex.org/W2794569859","https://openalex.org/W2913037852","https://openalex.org/W2943139891","https://openalex.org/W2983578321","https://openalex.org/W3024723654","https://openalex.org/W3033234289","https://openalex.org/W6770457352"],"related_works":["https://openalex.org/W2122988758","https://openalex.org/W2136721862","https://openalex.org/W3037288134","https://openalex.org/W1540357037","https://openalex.org/W3141678744","https://openalex.org/W2566091814","https://openalex.org/W3169072271","https://openalex.org/W2037502770","https://openalex.org/W2087945608","https://openalex.org/W2004286807"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,62],"fingerprint":[4,13,32,93,97,104],"alignment":[5,30,83,105],"algorithm":[6,51],"based":[7],"on":[8],"the":[9,18,43,50,54,76,89,92,101,110,115,117,120,123],"latest":[10],"on-display":[11,96],"optical":[12],"image":[14,94],"sensors":[15],"used":[16,35],"for":[17,36,68],"brand-new":[19],"smartphone.":[20],"In":[21],"order":[22],"to":[23,49,52,74,80],"avoid":[24],"finding":[25],"very":[26,72],"similar":[27],"but":[28],"wrong":[29],"results,":[31],"ridges":[33],"are":[34],"matching":[37,85],"instead":[38],"of":[39,64,91,103],"minutia":[40],"points.":[41],"Besides,":[42],"Gabor":[44],"filtering":[45],"enhancement":[46],"is":[47,99],"added":[48],"improve":[53],"disordered":[55],"ridge-line":[56],"issue.":[57],"We":[58],"have":[59],"also":[60],"designed":[61],"set":[63],"graphical":[65],"user":[66],"interface":[67],"producing":[69],"ground":[70],"truths":[71],"efficiently":[73],"shorten":[75],"verification":[77],"time":[78],"required":[79],"produce":[81],"correct":[82],"and":[84],"results.":[86],"Even":[87],"if":[88],"quality":[90],"from":[95],"sensor":[98],"poor,":[100],"accuracy":[102],"can":[106,126],"be":[107,127],"improved":[108],"through":[109],"proposed":[111],"algorithm.":[112],"The":[113],"higher":[114],"accuracy,":[116],"more":[118],"secure":[119],"data":[121],"in":[122],"mobile":[124],"application":[125],"ensured.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
