A combined watermarking approach for securing biometric data (original) (raw)

A New Additive Watermarking Technique for Multimodal Biometric Identification

2013

This paper presents a new additive watermarking technique for multimodal biometric identification systems comprising four-tier security and repetitive coding based enhanced robustness. In the proposed technique, frontal face information is embedded as a watermark in fingerprint image; the fingerprint features information is then embedded in the iris image of the same individual. This provides availability of features of one modality in other modalities. Thus, providing an additional layer of security, whereby, the host images are used for verification and cross authentication of the individuals in order to secure biometric data. The hidden data are easily and accurately extracted from host images using predefined secret key available in the decoder. The proposed method is robust, viable in biometric systems, and is resistant to common signal processing attacks.

Efficient Watermarking based an Robust Biometric Features

Fingerprints are unique biometrics mainly used for the establishment of instant personal identity but they susceptible to accidental/intentional attacks because that must be secure biometric data from any attack by using watermark technique. In this paper biometric image is used for features extraction from fingerprint images and embedded these features in face image at watermarking technique via the calculation of average for all faces images that stored in database. This approach indicates a good result in watermarking and data recovering. This approach may applied in many applications such as could credit card, personal identification card, secure passport … etc.

Augmenting security of biometric with watermarking

The Imaging Science Journal, 2014

This paper presents a new blind biometric watermarking scheme based on discrete wavelet transform for biometric template protection. We are using fingerprint feature and iris feature as multiple watermarks instead of randomly generated Gaussian noise type watermark. Watermark embedding locations are selected by measuring power level of each coefficient which gives sensibility of human eye to local image perturbations. Though biometric features are embedded sequentially, care is taken that most significant features are embedded to those locations whose power level is maximum which provides more robustness. We embed watermark into mid-frequency sub-band by modifying the amplitude of selected coefficient based on comparison between original and estimated values. Estimated value of coefficient is calculated from average sub-band of the same resolution level of the cover image. A reliable watermark extraction scheme is developed for the extraction of watermark from distorted image. Experimental evaluation demonstrates that the proposed scheme is able to withstand a variety of attacks. We show that the proposed scheme also gives adjustability to the user for selecting P percentage of retained wavelet coefficients.

The Watermark Applications in Multimodal Biometric Identification

2018

The need for personal identification in the modern world in all areas of social activity is growing. This paper presents the application of the watermark in multimodal biometric identification. In one biometric feature-a face photo is inserted in the form of a watermark, a second, encrypted biometric feature-a fingerprint. Unlike standard biometric identification algorithms that require access to a database with biometric features, the concept of multimodal biometric identification does not require access to the database. It has been shown that a high quality fingerprint can be extracted from the watermarked photo of person, which, together with the face image, is used in the process of multimodal identification. In the experimental part of the work, mean values of PSNRs of secured images of over 37dB were obtained, while the average value of PSNR watermarks was over 33dB, NC greater than 0.98 and SSIM about 0.96. Based on the obtained experimental results, it can be concluded that the proposed concept of multimodal biometric identification based on a watermark can be successfully applied in multimodal personal identification. I.

An Efficient Watermarking Technique for Biometric Images

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.

Protecting Biometric Templates With Image Watermarking Techniques

Advances in Biometrics, 2007

Biometric templates are subject to modifications for identity fraud especially when they are stored in databases. In this paper, a new approach to protecting biometric templates with image watermarking techniques is proposed. The novelty of this approach is that we have combined lattice and block-wise image watermarking techniques to maintain image quality along with cryptographic techniques to embed fingerprint templates into facial images and vice-versa. Thus, protecting them from being modified.

Biometric Data-based Robust Watermarking Scheme

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.

Robust biometric image watermarking for fingerprint and face template protection

Ieice Electronic Express, 2006

This paper presents a combined DWT and LSB based biometric watermarking algorithm that securely embeds a face template in a fingerprint image. The proposed algorithm is robust to geometric and frequency attacks and protects the integrity of both the face template and the fingerprint image. Experimental results performed on a database of 750 face and 750 fingerprint images show that the algorithm has the advantages of both the existing DWT and LSB based algorithms. A multimodal biometric algorithm is used as a metric to evaluate the combined performance of both face and fingerprint recognition.

A watermarking technique to improve the security level in face recognition systems

Multimedia Tools and Applications, 2016

This paper presents a proposal for a suitable and viable combination of a face recognition system and a watermarking system, namely a PCA-DCT combination, as a new watermarked face recognition scheme that will ensure the authenticity of the data being transmitted in the face recognition system, which will then increase its level of security. The emphasis is on recognizing and rejecting stolen biometric data reintroduced into the system. The research begins with an analysis of biometric systems, with an emphasis on face recognition systems, and in particular with reference to the recorded threats on such systems, Biometric watermarking algorithms proposed by previous researchers within the face recognition environment are then studied, noting their proposed solutions to the said threats. This would then give a good idea towards a watermarked face recognition scheme to be proposed to enhance the security of face recognition systems, especially in terms of the authenticity of the data being transmitted. This watermarked face recognition scheme is the main objective, which will be then worked into the PCA-DCT combination, followed by a check on all the 8 possible locations where data may be intercepted and/or reintroduced. All the results produced are positive, apart from a few situations that will have to be left for future work. Non degradation of the individual PCA and DCT systems due to the combination is also checked and experimented on, again with positive results. Finally, the robustness of the watermarked face recognition scheme is experimented on to evaluate its resilience against attacks.