Classifying Iris Image Based on Feature Extraction and Encryption Using Bio-Chaotic Algorithm (BCA)
Rashmi Machindra Mhatre, Deeksha Bhardwaj · 2015
The classification of the iris image based on feature extraction algorithms like SIFT i.e. Scale-Invariant Feature Transform. The SIFT algorithm helps to retrieve macro features from the iris template. Then the iris images which are stored into the database undergoes SIFT feature extraction technique so that they can be compared with the input image provided to the user. The images which fulfill the criteria of maximum feature matching are retrieved and display. The input image is then divided into parts so as to apply the Bio-Chaotic Algorithm. Firstly image is classified and then randomly one block is selected to hide secret message into it and encrypting the whole image using the same key. The graph of both original as well as encrypted iris image is generated so that one can see the difference after the encryption process. Only authorize user knows about the random block that's why attacker fails to fraud attack. The decryption process is reverse of encryption process. Then, the encrypted image is send to the receiver via e-mail, so that at the receiver end decryption can be done securely. The use of bio-chaotic stream cipher which will help to encrypt the iris images and store them securely using biometric key and bio-chaotic function.