Proceedings ArticleDOI
Digital watermarking based secure multimodal biometric system
Mayank Vatsa,Richa Singh,Pabitra Mitra,Afzel Noore +3 more
- Vol. 3, pp 2983-2987
TLDR
This paper presents a multimodal biometrics system using watermarking algorithms with two levels of security for simultaneously verifying an individual and protecting the biometric template.Abstract:
This paper presents a multimodal biometrics system using watermarking algorithms with two levels of security for simultaneously verifying an individual and protecting the biometric template. Iris template is watermarked in face, such that the face is visible for verification and the watermarked iris is used to cross authenticate the individual and secure the biometrics data as well. The accuracy of the multimodal biometrics system is around 96.8%. This system is also resistant to common attacks on biometric templates.read more
Citations
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Journal ArticleDOI
Multimodal biometric image watermarking using two-stage integrity verification
Won-gyum Kim,Heungkyu Lee +1 more
TL;DR: Experimental results showed that the proposed method has a high detection rate of the forged biometric data and guarantees the security assurance and is basically blind and spread spectrum-based robust watermarking method.
Journal ArticleDOI
A robust color image watermarking with Singular Value Decomposition method
TL;DR: The performance of a watermarking method based on Singular Value Decomposition (SVD) has been improved for color image in this paper and application results are given which show the water marking security of using this algorithm for theWatermarking and demonstrate the accuracy of these methods.
Journal ArticleDOI
Can cancellable biometrics preserve privacy
P. Punithavathi,Geetha Subbiah +1 more
TL;DR: The secure storage of biometric templates has become a key issue in the modern era; the acceptance of biometrics authentication devices by the general public is dependent on the perceived level of security ofBiometric information templates stored within databases.
Book ChapterDOI
Biometric Watermarking Technique Based on CS Theory and Fast Discrete Curvelet Transform for Face and Fingerprint Protection
TL;DR: The experimental results demonstrate that proposed watermarking technique does not affect verification and authentication performance of multibiometric system.
Proceedings ArticleDOI
Noise is Inside Me! Generating Adversarial Perturbations with Noise Derived from Natural Filters
TL;DR: This research presents a novel scheme termed as Camera Inspired Perturbations to generate adversarial noise, which is model-agnostic and can be utilized to fool multiple deep learning classifiers on various databases.
References
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High confidence visual recognition of persons by a test of statistical independence
TL;DR: A method for rapid visual recognition of personal identity is described, based on the failure of a statistical test of independence, which implies a theoretical "cross-over" error rate of one in 131000 when a decision criterion is adopted that would equalize the false accept and false reject error rates.
Journal ArticleDOI
Iris recognition: an emerging biometric technology
TL;DR: This paper examines automated iris recognition as a biometrically based technology for personal identification and verification from the observation that the human iris provides a particularly interesting structure on which to base a technology for noninvasive biometric assessment.