{"id":"https://openalex.org/W3210088128","doi":"https://doi.org/10.1007/s42979-021-00859-3","title":"Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples","display_name":"Deep Palmprint Recognition with Alignment and Augmentation of Limited Training Samples","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W3210088128","doi":"https://doi.org/10.1007/s42979-021-00859-3","mag":"3210088128"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-021-00859-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-021-00859-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-021-00859-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-021-00859-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030932880","display_name":"Dane Brown","orcid":"https://orcid.org/0000-0001-7395-7370"},"institutions":[{"id":"https://openalex.org/I203238179","display_name":"Rhodes University","ror":"https://ror.org/016sewp10","country_code":"ZA","type":"education","lineage":["https://openalex.org/I203238179"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Dane Brown","raw_affiliation_strings":["Rhodes University, Grahamstown, South Africa"],"raw_orcid":"https://orcid.org/0000-0001-7395-7370","affiliations":[{"raw_affiliation_string":"Rhodes University, Grahamstown, South Africa","institution_ids":["https://openalex.org/I203238179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072797821","display_name":"Karen Bradshaw","orcid":"https://orcid.org/0000-0003-3979-5675"},"institutions":[{"id":"https://openalex.org/I203238179","display_name":"Rhodes University","ror":"https://ror.org/016sewp10","country_code":"ZA","type":"education","lineage":["https://openalex.org/I203238179"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Karen Bradshaw","raw_affiliation_strings":["Rhodes University, Grahamstown, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rhodes University, Grahamstown, South Africa","institution_ids":["https://openalex.org/I203238179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030932880"],"corresponding_institution_ids":["https://openalex.org/I203238179"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":1.2526,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79356102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"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/T11448","display_name":"Face recognition and analysis","score":0.97079998254776,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8193151950836182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7784814834594727},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7225669622421265},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6899946928024292},{"id":"https://openalex.org/keywords/fist","display_name":"Fist","score":0.6364811062812805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6242664456367493},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5533869862556458},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5131233334541321},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.48613497614860535},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4625742733478546},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4331439435482025},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41150251030921936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36136212944984436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193151950836182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7784814834594727},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7225669622421265},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6899946928024292},{"id":"https://openalex.org/C2780573568","wikidata":"https://www.wikidata.org/wiki/Q16743864","display_name":"Fist","level":2,"score":0.6364811062812805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6242664456367493},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5533869862556458},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5131233334541321},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.48613497614860535},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4625742733478546},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4331439435482025},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41150251030921936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36136212944984436},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-021-00859-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-021-00859-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-021-00859-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-021-00859-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-021-00859-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-021-00859-3.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8797229914","display_name":null,"funder_award_id":"120654","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320683","display_name":"Rhodes University","ror":"https://ror.org/016sewp10"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210088128.pdf","grobid_xml":"https://content.openalex.org/works/W3210088128.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W203138351","https://openalex.org/W313279739","https://openalex.org/W825525975","https://openalex.org/W1522301498","https://openalex.org/W1578352865","https://openalex.org/W1585588639","https://openalex.org/W1618905105","https://openalex.org/W1686810756","https://openalex.org/W1985636418","https://openalex.org/W2007523091","https://openalex.org/W2015149046","https://openalex.org/W2031180858","https://openalex.org/W2035273506","https://openalex.org/W2065429801","https://openalex.org/W2095705004","https://openalex.org/W2110486438","https://openalex.org/W2114214092","https://openalex.org/W2114367267","https://openalex.org/W2121647436","https://openalex.org/W2126326837","https://openalex.org/W2133059825","https://openalex.org/W2144025519","https://openalex.org/W2156876426","https://openalex.org/W2159171257","https://openalex.org/W2334825295","https://openalex.org/W2412588858","https://openalex.org/W2470247343","https://openalex.org/W2520417976","https://openalex.org/W2531409750","https://openalex.org/W2578183556","https://openalex.org/W2597845860","https://openalex.org/W2608875480","https://openalex.org/W2618530766","https://openalex.org/W2626967530","https://openalex.org/W2735766064","https://openalex.org/W2760126305","https://openalex.org/W2803380720","https://openalex.org/W2900198688","https://openalex.org/W2919115771","https://openalex.org/W2945197573","https://openalex.org/W3017262123","https://openalex.org/W3112293456","https://openalex.org/W4250054895","https://openalex.org/W4250923886","https://openalex.org/W6606717851"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W3185156046","https://openalex.org/W2922305141","https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2914559142"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"builds":[3],"upon":[4],"a":[5,73,85],"previously":[6],"proposed":[7,15,64,86,137],"automatic":[8],"palmprint":[9,138],"alignment":[10],"and":[11,34,55,72,93,97,121,131,150],"classification":[12],"system.":[13],"The":[14,63,79],"system":[16,139],"was":[17,29],"geared":[18],"towards":[19],"palmprints":[20,40],"acquired":[21],"from":[22],"either":[23],"contact":[24],"or":[25],"contactless":[26],"sensors.":[27],"It":[28],"robust":[30],"to":[31,47],"finger":[32],"location":[33],"fist":[35],"shape":[36],"changes\u2014accurately":[37],"extracting":[38],"the":[39,111,136],"in":[41,110],"images":[42],"without":[43],"fingers.":[44],"An":[45],"extension":[46],"this":[48],"previous":[49],"work":[50],"includes":[51],"comparisons":[52],"of":[53,76],"traditional":[54],"deep":[56,101],"learning":[57,102],"models,":[58],"both":[59],"with":[60,68,106],"hyperparameter":[61],"tuning.":[62],"methods":[65],"are":[66,104],"compared":[67],"related":[69],"verification":[70,126],"systems":[71],"detailed":[74],"evaluation":[75],"open-set":[77],"identification.":[78],"best":[80],"results":[81],"were":[82],"yielded":[83],"by":[84],"Convolutional":[87],"Neural":[88],"Network,":[89],"based":[90],"on":[91,124,146],"VGG-16,":[92],"outperforming":[94],"tuned":[95],"VGG-16":[96],"Xception":[98],"architectures.":[99],"All":[100],"algorithms":[103],"provided":[105],"augmented":[107],"data,":[108],"included":[109],"tuning":[112],"process,":[113],"enabling":[114],"significant":[115],"accuracy":[116],"gains.":[117],"Highlights":[118],"include":[119],"near-zero":[120],"zero":[122],"EER":[123],"IITD-Palmprint":[125],"using":[127],"one":[128],"training":[129,152],"sample":[130],"leave-one-out":[132],"strategy,":[133],"respectively.":[134],"Therefore,":[135],"is":[140,144],"practical":[141],"as":[142],"it":[143],"effective":[145],"data":[147],"containing":[148],"many":[149],"few":[151],"examples.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
