{"id":"https://openalex.org/W3087244865","doi":"https://doi.org/10.1155/2020/8841021","title":"Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography","display_name":"Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3087244865","doi":"https://doi.org/10.1155/2020/8841021","mag":"3087244865"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8841021","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8841021","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8841021.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2020/8841021.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068573207","display_name":"Vani Rajasekar","orcid":"https://orcid.org/0000-0003-1851-6526"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vani Rajasekar","raw_affiliation_strings":["Dept of CSE, Kongu Engineering College, Perundurai, Erode, India"],"raw_orcid":"https://orcid.org/0000-0003-1851-6526","affiliations":[{"raw_affiliation_string":"Dept of CSE, Kongu Engineering College, Perundurai, Erode, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074202998","display_name":"J. Premalatha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Premalatha","raw_affiliation_strings":["Dept of IT, Kongu Engineering College, Perundurai, Erode, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of IT, Kongu Engineering College, Perundurai, Erode, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110576985","display_name":"K. Sathya","orcid":null},"institutions":[{"id":"https://openalex.org/I15664174","display_name":"Madurai Medical College","ror":"https://ror.org/05ghahk68","country_code":"IN","type":"education","lineage":["https://openalex.org/I15664174"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Sathya","raw_affiliation_strings":["Dept of CT/UG, Kongu Engineering College, Perundurai, Erode, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of CT/UG, Kongu Engineering College, Perundurai, Erode, India","institution_ids":["https://openalex.org/I15664174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068573207"],"corresponding_institution_ids":[],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":2.5831,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90543365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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":0.9768000245094299,"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":0.9699000120162964,"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/computer-science","display_name":"Computer science","score":0.8535693883895874},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8421235680580139},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.6192522644996643},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.603766679763794},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5854256749153137},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5257302522659302},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.47827041149139404},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4471215009689331},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4351402521133423},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.43459978699684143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43424880504608154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3762555718421936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3654031753540039},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30168402194976807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535693883895874},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8421235680580139},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.6192522644996643},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.603766679763794},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5854256749153137},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5257302522659302},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.47827041149139404},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4471215009689331},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4351402521133423},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.43459978699684143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43424880504608154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3762555718421936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3654031753540039},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30168402194976807},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/8841021","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8841021","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8841021.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6ee8ee07f7ab498d86b6e0ab3403d423","is_oa":false,"landing_page_url":"https://doaj.org/article/6ee8ee07f7ab498d86b6e0ab3403d423","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8841021","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8841021","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2020/8841021.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087244865.pdf","grobid_xml":"https://content.openalex.org/works/W3087244865.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W52389305","https://openalex.org/W1523576480","https://openalex.org/W1974821667","https://openalex.org/W1981707239","https://openalex.org/W1992358283","https://openalex.org/W2002635145","https://openalex.org/W2306164244","https://openalex.org/W2625699340","https://openalex.org/W2737548743","https://openalex.org/W2789657020","https://openalex.org/W2921371643","https://openalex.org/W3004930195","https://openalex.org/W4255286282","https://openalex.org/W4366961279"],"related_works":["https://openalex.org/W2018223046","https://openalex.org/W2294693339","https://openalex.org/W2774310452","https://openalex.org/W1971649232","https://openalex.org/W2573408845","https://openalex.org/W231692020","https://openalex.org/W2024700913","https://openalex.org/W3092387234","https://openalex.org/W2891686872","https://openalex.org/W2349802214"],"abstract_inverted_index":{"Biometrics":[0],"combined":[1],"with":[2],"cryptography":[3,79],"can":[4],"be":[5],"employed":[6,104],"to":[7,22,46,105,110],"solve":[8],"the":[9,85,107,115,129,140,144,182],"conceptual":[10],"and":[11,38,58,122,166],"factual":[12],"identity":[13],"frauds":[14],"in":[15,94,128],"digital":[16],"authentication.":[17],"Biometric":[18],"traits":[19],"are":[20],"proven":[21],"provide":[23],"enhanced":[24,68],"security":[25],"for":[26,90,132],"detecting":[27],"crimes":[28],"because":[29],"of":[30,143,158,164,170],"its":[31],"interesting":[32],"features":[33],"such":[34,51,146],"as":[35,52,147],"accuracy,":[36,57],"stability,":[37],"uniqueness.":[39],"Although":[40],"diverse":[41],"techniques":[42],"have":[43],"been":[44,73,174,179],"raised":[45],"address":[47],"this":[48],"objective,":[49],"limitations":[50],"higher":[53],"computational":[54],"time,":[55],"minimal":[56,167],"maximum":[59,156,160],"recognition":[60,70,168],"time":[61,169],"remain.":[62],"To":[63],"overcome":[64],"these":[65],"challenges,":[66],"an":[67],"iris":[69,95,108,124],"approach":[71,89,131],"has":[72,173,178],"proposed":[74,82,130,183],"based":[75],"on":[76],"hyperelliptic":[77],"curve":[78],"(HECC).":[80],"The":[81,117,135],"study":[83,184],"uses":[84],"2D":[86],"Gabor":[87],"filter":[88],"perfect":[91],"feature":[92],"extraction":[93],"preprocessing.":[96],"A":[97],"lightweight":[98],"cryptographic":[99],"scheme":[100],"called":[101],"HECC":[102],"was":[103],"encrypt":[106],"template":[109],"avoid":[111],"intentional":[112],"attack":[113],"by":[114],"intruders.":[116],"benchmark":[118],"CASIA":[119],"Iris":[120],"V-4":[121],"IITD":[123],"datasets":[125],"were":[126],"used":[127],"experimental":[133],"analysis.":[134],"result":[136],"analysis":[137],"witnessed":[138],"that":[139,181],"prime":[141],"objective":[142],"research":[145],"lesser":[148,152],"false":[149,153],"acceptance":[150,162],"rate,":[151,155],"rejection":[154],"accuracy":[157],"99.74%,":[159],"true":[161],"rate":[163],"100%,":[165],"3":[171],"seconds":[172],"achieved.":[175],"Also,":[176],"it":[177],"identified":[180],"outperforms":[185],"other":[186],"existing":[187],"well-known":[188],"techniques.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}