Published Paper Details:

A new plan for user authentication is proposed using visual cryptography and invisible digital watermarking. Visual cryptography allows visual information to be encoded in such how that decoded becomes the work of the person to decrypt via a sight reading. Security for identity-based identification using visual cryptography and watermarking provides secure authentication for user access. To ensure a protective authentication in visual cryptography and watermarking algorithm embedding of finger print, iris image and face recognition are often used. A user verification and authentication methods are not suitable for frequent verification. The traditional behavioral biometrics on PCs, such as keystroke and mouse dynamics, cannot be practical on for user verification. Existing reauthentication schemes for fingerprint, iris image and face recognition are not practical for real applications due to low accuracy. To overcome such issue, we can utilize the support vector machine which provides the high accuracy, which involves two design methodologies, first is False Acceptance Rate (FAR) and second is False Rejection Rate (FRR). To enhancing the security of existing technique like finger print, iris image and face recognition over Noisy Images, an efficient image segmentation technique such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Discrete Fourier Transform (DFT) is used. To possess accurate FAR Extraction Ratio of Co-efficient (ROC) Curves, the result of MASEK and Ma are obtained. Binomial Distribution vector space is executed for FAR and FRR. To know Distribution Reliability in Ma and MASEK in 128 bit blocks are applied. The 128 bit block used for image segmentation uses DCT, DWT and DFT technique. The uniqueness of the input image totally results in distortion problems, so a robust watermarking algorithm and visual cryptography is used to develop the security, which can prevent the image from being hacked as well as distorted. The Mat Lab framework for Experimental results indicates that the proposed watermarking algorithm has high security, watermarking life time, user authentication delay and perceptual invisibility. Moreover, it can detect and locate the tampered region effectively for various performances of finger print, iris and Face. The Experimental result shows that Min & Max of FAR and FRR rate for security management control for visual cryptography.