LEADER 02221oam 2200457zu 450 001 9910138936403321 005 20241212215827.0 010 $a9781509071739 010 $a1509071733 010 $a9780769538792 010 $a0769538797 035 $a(CKB)2400000000003031 035 $a(SSID)ssj0000452814 035 $a(PQKBManifestationID)12194533 035 $a(PQKBTitleCode)TC0000452814 035 $a(PQKBWorkID)10472559 035 $a(PQKB)10243520 035 $a(NjHacI)992400000000003031 035 $a(EXLCZ)992400000000003031 100 $a20160829d2009 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2009 International Conference of Soft Computing and Pattern Recognition 210 31$a[Place of publication not identified]$cIEEE$d2009 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424453306 311 08$a1424453305 330 $aCurrently, it is noticed that users tend to choose shorter password as their authentication which can be easily attacked. Biometric technologies such as fingerprint scanning, voice authentication, face recognition, signature, hand geometry and iris recognition is now playing an important role especially in application related to security issue. In this work, we present an approach to generate a unique and more secure cryptographic key from iris template. The iris images are processed to produce iris template or code to be utilized for the encryption and decryption tasks. AES cryptography algorithm are employed to encrypt and decrypt the identity data. Distance metric such as hamming distance and Euclidean distance are used for the template matching identification process. Experimental results show that this system can obtain a higher security with a low false rejection or false acceptance rate. 606 $aSoft computing$vCongresses 615 0$aSoft computing 676 $a511.313 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910138936403321 996 $a2009 International Conference of Soft Computing and Pattern Recognition$92495974 997 $aUNINA