Paper Title
IRIS Based Biometrics Applied To Digital Atermarking

Digital watermarking is a technique, where the digital embedding of the copyright information /watermark into the data to be protected. Image water marking schemes have various attacks such as median filtering, illegal copying, noise and compression. These attacks can easily make most of the existing watermarking schemes ineffective. The marking image could desynchronise the location of the watermark and may cause incorrect watermark detection .The use of biometric instead of traditional watermark increases the security of the image data. To overcome this, in this paper we employ Fractional Dual Tree Complex Wavelet Transforms (FrDT-CWT) and Singular Value Decomposition (SVD).Initially, this paper provides a brief glance at FrDT-CWT and SVD which have the characteristics of multi-scale framework and multi directionality. Also the proposed work has Support Vector Machine (SVM) used for the classification of iris template, which increases the accuracy rate. Highly secure iris biometric has been integrated with the image watermarking algorithm to enhance multimedia security of data.