Classifying Iris Image based on Hierarchical Visual Codebook and Encryption using Bio-Chaotic Algorithm (BCA)

The classification of the iris image under the fake or real and also adding security to it by encrypting it provides double the security. Iris recognition system can undergo the security attacks which can result into the fraudulent identity authentication. The attacker therefore will try to develop the methods which will spoof the iris biometrics. Therefore it becomes difficult to develop the recognition system which will be attack proof. The one of the solution to this is iris liveness detection, where fake and the real iris images are classified and detected. As it is known that the anti-virus industry establishes the computer as well as internet virus databases to tackle the problem of viruses, malwares etc ,these database is dynamically get updated as they are share via public domain and can use this concept to tackle the fake iris images by preparing iris database. So, in this project will try to classify the iris images into the fake and real images, and store those into database along with this we are going to use the cryptographic algorithm to achieve the security. The use of the bio-chaotic stream cipher will help to encrypt the iris images and store them securely with the help of biometric key and bio-chaotic function.