Second generation wavelet transform based biometric [iris] watermarking for image authentication using Gabor feature extraction

Watermarking has been used extensively for the security of images. The wavelet transform based watermarking has been used for authentication of different images using various techniques. Work presented in current paper proposes a biometric watermarking technique for multimedia (image) data content protection using Gabor feature for extracting the most significant features from the iris image. Lifting wavelet transform has been used for selecting the coefficient in the host image in the manner so as to achieve high imperceptibility of the embedded watermark. On the basis of the results of the current research work, it can be concluded that proposed algorithm shows resilience to non- geometric attacks.