{"id":"https://openalex.org/W2583004665","doi":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-291","title":"Contactless palm landmark detection and localization on mobile devices","display_name":"Contactless palm landmark detection and localization on mobile devices","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2583004665","doi":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-291","mag":"2583004665"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.7.mobmu-291","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-291","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5100352467","display_name":"Yaqi Wang","orcid":"https://orcid.org/0000-0002-4627-3392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaqi Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076442506","display_name":"Liangrui Peng","orcid":"https://orcid.org/0000-0001-7793-1039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liangrui Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030965866","display_name":"Shengjin Wang","orcid":"https://orcid.org/0000-0001-7809-1932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengjin Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111444853","display_name":"Xiaoqing Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoqing Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2501,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57332689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":"7","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9932000041007996,"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":0.9932000041007996,"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/T11448","display_name":"Face recognition and analysis","score":0.9226999878883362,"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/landmark","display_name":"Landmark","score":0.9851440191268921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7449818849563599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7137995958328247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079868316650391},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5840216875076294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5807117819786072},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.579899787902832},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4367883801460266},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42323824763298035},{"id":"https://openalex.org/keywords/palm","display_name":"Palm","score":0.4232056736946106},{"id":"https://openalex.org/keywords/palm-print","display_name":"Palm print","score":0.42309999465942383},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41517969965934753},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.40741583704948425}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9851440191268921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7449818849563599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7137995958328247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079868316650391},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5840216875076294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5807117819786072},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.579899787902832},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4367883801460266},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42323824763298035},{"id":"https://openalex.org/C94598645","wikidata":"https://www.wikidata.org/wiki/Q2347874","display_name":"Palm","level":2,"score":0.4232056736946106},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.42309999465942383},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41517969965934753},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.40741583704948425},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.7.mobmu-291","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-291","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2898228808","https://openalex.org/W3135266770","https://openalex.org/W2260048578","https://openalex.org/W79564642","https://openalex.org/W2736294736","https://openalex.org/W2765988996","https://openalex.org/W2329581426","https://openalex.org/W4241479212","https://openalex.org/W2357088827","https://openalex.org/W1813403894"],"abstract_inverted_index":{"Palmprint":[0],"recognition":[1],"as":[2],"a":[3,66,90,120,126,167,205],"novel":[4],"biometric":[5],"identification":[6,31],"method":[7,201],"for":[8,98],"contactless":[9],"mobile":[10,206],"devices":[11],"has":[12],"been":[13],"received":[14],"substantial":[15],"attentions":[16],"in":[17,47,57,160,178],"recent":[18],"years.":[19],"Palm":[20],"landmark":[21,55,69,91,100,122,139,154,168,177,185],"detection":[22,56,70,161],"is":[23,106,140,169,202],"one":[24],"of":[25,29,38,89,109,119,129,137,166,175,198],"the":[26,36,58,80,83,87,107,116,130,134,163,172,176,179,183,192,199],"key":[27],"technologies":[28],"palmprint":[30,149],"and":[32,43,86,115,133],"verification":[33],"system.":[34],"However,":[35],"differences":[37],"hand":[39],"positions,":[40],"complex":[41],"backgrounds":[42],"various":[44],"lighting":[45],"conditions":[46],"unrestrained":[48],"environment":[49],"with":[50,152],"low-resolution":[51],"cameras":[52],"make":[53],"palm":[54,68,99,121,209],"wild":[59],"difficult.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"proposed":[65,200],"new":[67],"approach":[71],"based":[72],"on":[73,204],"Supervised":[74],"Descent":[75],"Method":[76],"(SDM).":[77],"SDM":[78],"uses":[79],"relationship":[81],"between":[82,112],"feature":[84,110,135],"representation":[85,136],"position":[88,114,118,131,165,174,186],"point":[92],"to":[93],"build":[94],"an":[95,157],"optimization":[96,103],"problem":[97],"detection.":[101],"The":[102,142,196],"target":[104],"function":[105,128,144],"distance":[108],"representations":[111],"current":[113,138],"ideal":[117],"point.":[123],"After":[124],"optimization,":[125],"linear":[127,143,194],"displacement":[132],"obtained.":[141],"can":[145,187],"be":[146,188],"learned":[147,193],"from":[148],"image":[150,159,210],"samples":[151],"labeled":[153],"positions.":[155],"Given":[156],"input":[158],"process,":[162],"initial":[164],"set":[170],"by":[171],"mean":[173],"training":[180],"set,":[181],"then":[182],"optimal":[184],"calculated":[189],"iteratively":[190],"using":[191],"function.":[195],"effectiveness":[197],"proved":[203],"phone":[207],"captured":[208],"dataset.":[211]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
