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A novel selective image authentication system based on the robust digital watermarking is proposed. The discrete shearlet transform is performed in order to extract the feature vector from the image. The cone-adapted version of the transform is used to calculate the shearlet coefficients more precisely and to avoid the biased treatment. The proposed approach allows to use conventional cryptographic...
This paper presents a novel image compression method for compressing medical images combining Haar-Wavelet Transform (HWT) and Residual Vector Quantization (RVQ) technique for enhancing the image quality and compression ratio. This method is used to represent an image in a compact form for reduced storage and efficient transmission. Nowadays, technology needs massive data transmission with low transmission...
A watermark application in the integrity maintenance and verification of associated images is considered. There is a great advantage of watermark use in the context of conventional authentication since it does not require additional storage space for supplementary metadata. However JPEG compression, being a conventional method to compress images, leads to breaking of exact authentication. The usage...
In real time biometric based authentication environments, wavelet based functions are widely incorporated as one of the promising methods for feature extraction of biometric traits. In this paper, we propose a novel finger knuckle print (FKP) recognition technique based on Haar-Wavelet Transform (HWT). Haar - Wavelet transform is used to transform the original knuckle image into a subset of its feature...
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