Multi-biometric Authentication Through Hybrid Cryptographic System

@article{Mul1597212, author = {M.Gobi,R.Sridevi}, title = {Multi-biometric Authentication Through Hybrid Cryptographic System}, journal={International Journal of Computing Algorithm}, volume={4}, issue={1}, issn = {2278-2397}, year = {2015}, publisher = {Scholarly Citation Index Analytics-SCIA}

<?xml version='1.0' encoding='UTF-8'?> <record> <language>eng</language> <journalTitle>International Journal of Computing Algorithm</journalTitle> <eissn>2278-2397 </eissn> <publicationDate>2015</publicationDate> <volume>4</volume> <issue>1</issue> <startPage>19</startPage> <endPage>21</endPage> <documentType>article</documentType> <title language='eng'>Multi-biometric Authentication Through Hybrid Cryptographic System</title> <authors> <author> <name>M.Gobi</name> </author> </authors> <abstract language='eng'>In most of the real time scenario, authentication is required very much so as to enable the person to access a private database of any type. Researchers have started using biometric traits for the authenticity of a person. The various biometrics traits available are face, iris, palm print, hand geometry, fingerprint, ear etc., But the application that uses a single biometric trait often have to challenge with noisy data, restricted degrees of autonomy, non-universality of the biometric trait and intolerable error rates. Multi biometric systems seem to lighten these drawbacks by providing multiple verification of the same personality. Biometric fusion is the use of multiple biometric inputs or methods of processing to improve performance.</abstract> <fullTextUrl format='pdf'>http://www.hindex.org/2015/p972.pdf</fullTextUrl> <keywords language='eng'> <keyword>Biometric Images; Image Fusion; Elliptic Curve Cryptography; Security; Privacy.</keyword> </keywords> </record>

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