Lossless compression of biometric image data

In this paper we propose a method that identifies users in latest compressed streaming with their biometric watermark. Since the fingerprint is the most economical and the most widely used biometric feature, the digital fingerprint watermark system can be one of the best biometric security system. In this paper we propose a digital fingerprint watermark technique that can survive under very low bit rate compression. The proposed algorithm consists of preprocessing of the fingerprint image, watermark insertion using discrete wavelet transform, and watermark recovery. The damaged watermark by high compression ratio can be effectively restored with preprocessing before watermark insertion and accumulation of extracted watermarks in the stream. The simulation results show that the extraction accuracy increases over 99% in the highly compressed H.264 streaming.

The rapid global development of E-commerce in terms of digitalization and distribution of digital contents in the form of image, audio, video, increases the possibility of unrestricted duplication and broadcasting of copyrighted data and the protection of crucial documents is highly significant. Digital watermarking inserts watermark into the cover or host data by unnoticeable modification. In this work digital watermarking with biometric features is done. In this work a technique to implement the hiding of an image inside another image using biometric features namely signature and fingerprint using watermarking techniques is done. To accomplish this, a hybrid watermarking scheme consisting of Discrete Wavelet Transform, Discrete Cosine Transform and Singular Value Decomposition (DWT-DCT-SVD) is proposed for image authentication that is robust against attacks. Here, singular values of watermark1 (fingerprint) and watermark2 (signature) are obtained by applying DWT-DCT-SVD. By adding both the singular values of watermarks we acquire the transformed watermark. To improve the security, robustness and provide authenticity for the image, a two-step watermarking method is demonstrated. The evaluation parameters like PSNR (Peak Signal to Noise Ratio), SSIM (Structured Similarity Index Method), normalized correlation coefficient (NCC) are used for image quality assessment.

The use of image based information exchange has grown rapidly over the years in terms of both e-toe image storage and transmission and in terms of maintaining paper documents in electronic form. Further, with the dramatic improvements in the quality of COTS (Commercial-Off-The-Shelf) printing and scanning devices, the ability to counterfeit electronic and printed documents has become a widespread problem. Consequently, there has been an increasing demand to develop digital watermarking techniques which can be applied to both electronic and printed images (and documents) that can be authenticated, prevent unauthorized copying of their content and, in the case of printed documents, withstand abuse and degradation before and during scanning. In this paper we consider the background to a novel approach to solving this problem that has been developed into practically realisable system.

Procedia Computer Science, 2017

This paper provides a good way of digital watermarking framework using biometric image as watermark by the application of homomorphic encryption system. Thus, it provides data confidentiality and also authenticity. Here, the biometric image is watermarked inside the standard benchmark images. The robustness of the watermarks in the image are verified through measurement of Peak Signal-to-noise ratio (PSNR), Correlation coefficient (CC%), and noise test. The biometric images are obtained by subtracting watermarked images with benchmark images.

In this paper, a novel scheme to watermark biometric images is proposed. It exploits the fact that biometric images, normally, have one region of interest, which represents the relevant part of information processable by most of the biometric-based identification/authentication systems. This proposed scheme consists of embedding the watermark into the region of interest only; thus, preserving the hidden data from the segmentation process that removes the useless background and keeps the region of interest unaltered; a process which can be used by an attacker as a cropping attack. Also, it provides more robustness and better imperceptibility of the embedded watermark. The proposed scheme is introduced into the optimum watermark detection in order to improve its performance. It is applied to fingerprint images, one of the most widely used and studied biometric data. The watermarking is assessed in two well-known transform domains: the discrete wavelet transform (DWT) and the discrete Fourier transform (DFT). The results obtained are very attractive and clearly show significant improvements when compared to the standard technique, which operates on the whole image. The results also reveal that the segmentation (cropping) attack does not affect the performance of the proposed technique, which also shows more robustness against other common attacks.

This paper presents a secure watermarking scheme that inserts biometric data into images found in forms of identification. Putting biometric data deals privacy related issues. Here we present a software approach to implement such type of idea or giving a basic platform to implement it onto the further high level. Our process is the combination of two techniques: watermarking and biometric application. Watermarking is used for data security and biometric deals with unique identification. The paper is implementation of such type of approaches to fulfill the requirement of security and authentication. The basic concepts, implementation method, watermark insertion, watermark extraction process are given below. We take an image as an example to more understand the process . the summarized table with the performance parameters are also given.

Indian Journal of Science and Technology, 2015

This paper focus on study and analysis of effect of watermarking technique in spatial domain combined with cs theory on verification and authentication performance of multibiometric system. In presented techniques, watermark fingerprint is compressed using CS theory before embedding into host biometric. These compressed fingerprint features embed into face image such that watermarked face image is used for verification and authentication of individual. Compressed fingerprint features are used for cross verification and authentication of individual. The modified LSB substitution based technique and modified correlation based technique using WGN combined with CS theory used to secure biometric data at system database and communication channel between two checkpoints of multibiometric system, respectively. The verification accuracy of multibiometric system using these watermarking techniques is around 96 % with more computational security and high perceptual quality of biometric data. The results show that these watermarking techniques do not have effect on authentication performance of multibiometric system. The novelty of paper is combined compressive sensing theory with watermarking technique for security of multibiometric data.

2008

In this paper, a novel scheme to watermark biometric images is proposed. It exploits the fact that biometric images, normally, have one region of interest, which represents the relevant part of information processable by most of the biometric-based identification/authentication systems. This proposed scheme consists of embedding the watermark into the region of interest only; thus, preserving the hidden data from the segmentation process that removes the useless background and keeps the region of interest unaltered; a process which can be used by an attacker as a cropping attack. Also, it provides more robustness and better imperceptibility of the embedded watermark. The proposed scheme is introduced into the optimum watermark detection in order to improve its performance. It is applied to fingerprint images, one of the most widely used and studied biometric data. The watermarking is assessed in two well-known transform domains: the discrete wavelet transform (DWT) and the discrete Fourier transform (DFT). The results obtained are very attractive and clearly show significant improvements when compared to the standard technique, which operates on the whole image. The results also reveal that the segmentation (cropping) attack does not affect the performance of the proposed technique, which also shows more robustness against other common attacks.

44th Annual 2010 IEEE International Carnahan Conference on Security Technology, 2010

In this work, the authors explore different lossless strategies of organizing the sample point values from an on-line signature data format, in order to obtain higher compression performance. A new near-lossless strategy of organizing sample point values is also proposed, with the introduction of a control error difference level mechanism. Seven different data compression algorithms and three public databases have been tested in order to find the compression ratios for these new strategies, identify if a better data compression algorithm exists and the influence from the origin of the database, i.e. different populations signing in very different ways. The authors have also carried out an algorithm evaluation to investigate the impact of the information lost on several data formats on the Signature Verification performances.

Procedia Computer Science, 2010

This paper presents a secure and robust watermarking scheme to enhance the security of biometric template over insecure network. Diffusion and digital watermarking techniques are used to improve the security and secrecy of the templates. Diffusion phase is done by chaotic sequence and Hessenberg decomposition. This phase essentially change the pixel values of biometric template randomly. Finally, the watermark image, which is the face image of the owner of biometric template, is embedded in the diffused biometric template with the help of singular value decomposition. The feasibility of the proposed method and its robustness against different kind of attacks are verified by computer simulations.