A New Additive Watermarking Technique for Multimodal Biometric Identification (original) (raw)

A combined watermarking approach for securing biometric data

Signal Processing: Image Communication, 2017

In this paper, we propose a new watermarking reinforcement approach that ensures a suitable compromise between the security level of a person's biometric data and the computational complexity of the proposed scheme while maintaining a reduced storage space and a good visual quality of the watermarked host image. We validate the suggested approach on two biometric modalities, fingerprint and face, which are among the most frequently deployed and mature ones in biometric watermarking systems. The improved level of safety is ensured by a combined watermarking scheme. In fact, the same watermarking algorithm is applied twice in succession. First, the face of an individual is watermarked by the local characteristics, minutia, of his/her fingerprint. Second, the previously watermarked face image is inserted into the original image of the fingerprint as supplementary identity information. Beside securing the biometric data, the exploration of the watermarked image has shown interesting performances in individuals' verification. The results of various tests performed on the Biosecure multimodal database have demonstrated that the proposed method is robust to several signal processing attacks.

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.

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.

An Overview of Multimodal Biometric Approaches Based on Digital Image Watermarking

Research Journal of Applied Sciences, Engineering and Technology, 2016

In this review study, a different multimodal biometric approach based on digital image watermarking is discussed. Although some of the multimodal approaches combined the score of each biometric system separately, applying biometric digital image watermarking is useful due to more security and simplicity issues In spite of difficulties to develop multimodal biometric systems, currently many studies are done to improve these systems. However, it seems it is required to have one review paper in this area for researchers who currently work in this field. The results show that embedding voice biometric in face image not only can improve the recognition performance, but also, can improve the security of the multimodal biometric systems.

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.

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.

Multimodal Biometric Image Security using Steganography and Watermarking

Data hiding is the key factor in secure communication today, Because of duplication and data manipulation. With the help of data hiding, that we can make our personal and important data will ensure against activities without authentication. Due to the availability of low-cost editing tools, any user can easily copy, modify, and retransmit digital data over the network. It could also cause a social disorder if digital media content, such as confidential government documents, court evidence or other important information, is maliciously manipulated. To effectively support the growth of multimedia communications, it is essential to develop tools that protect and authenticate digital information. Steganography, watermarking and cryptography of such types of methods are used to hide data in secret communications. In this proposed work use a lossless data hiding technique using watermarking and steganography together, so that achieve high security that provides a higher level of security and authentication of data without loss. Combination of watermarking and steganography techniques used to get multiple layers for hiding personal information. With the help of watermarking algorithm we are embedding the user personal information within the image. The embedding and detection method of the watermark technique used the DWT transformation. Watermarked image and secret image hide within the original cover image through steganography. The most Common use of steganography is to hide a file in another file. Discrete Wavelet Transform (DWT) method is used to obtain frequency domain analysis of the image.

Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

Periodica Polytechnica Electrical Engineering and Computer Science

Iris-based security systems are highly recommended because of their security and ease of use. Different watermarking techniques have been presented to provide security while exchanging or storing iris images. The previous iris image watermarking techniques have successfully reached their aims, however, they suffer from some limitations such as the distortions that are presented in the iris region because of the watermark embedding process, the limited embedding capacity, and the lack of robustness against unintentional attacks. On the other hand, nowadays, the biometric-based security systems have directed their interest towards multi-biometric techniques in order to improve the performance of the individual’s recognition process. This paper presents a new multi-biometric watermarking (MBW) scheme in which the features of the fingerprint image and some personal information are embedded in the iris image. To avoid the abovementioned limitations, the proposed scheme presents an intera...

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.