Protecting Iris Images through Asymmetric Digital Watermarking

Bartlow, Nick; Kalka, Nathan D.; Čukić, Bojan; Ross, Arun

doi:10.1109/autoid.2007.380618

Cited by 48 publications

(10 citation statements)

References 6 publications

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“…This idea may also be applied to biometric databases where e.g. Bartlow et al [1] propose a framework that encodes voice feature descriptors in raw iris images stored in a database.…”

Section: Watermarking In Biometric Systemsmentioning

confidence: 98%

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Hämmerle-Uhl

Raab

Uhl

2011

Lecture Notes in Computer Science

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Abstract. Several multimodal biometric schemes have been suggested in literature which employ robust watermarking in order to embed biometric template data into biometric sample data. In case robust embedding is used as the sole means of security, tampering attacks can be mounted. The results of a corresponding attack against a multimodal iris recognition scheme show, that in this environment either semi-fragile watermarking or additional classical cryptographic means need to be applied to secure the system against the demonstrated attack.

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“…This idea may also be applied to biometric databases where e.g. Bartlow et al [1] propose a framework that encodes voice feature descriptors in raw iris images stored in a database.…”

Section: Watermarking In Biometric Systemsmentioning

confidence: 98%

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Hämmerle-Uhl

Raab

Uhl

2011

Lecture Notes in Computer Science

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“…the image) to the sensor, it can detect the WM, will deduce non-liveness and will refuse to process the data further (see e.g. [1] embedding voice templates into iris sample data).…”

Section: Watermarking In Biometric Systemsmentioning

confidence: 99%

Two-Factor Biometric Recognition with Integrated Tamper-Protection Watermarking

Huber

Stögner

Uhl

2011

Communications and Multimedia Security

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Abstract. Two-factor authentication with biometrics and smart-cards enabled by semi-fragile watermarking is proposed. Several advantages of the scheme as compared to earlier approaches are discussed and experiments for an iris-based recognition system demonstrate that semi-fragile integrity verification can be provided by the system. This is achieved without impact on recognition performance, since the slight degradation in terms of ROC behavior which is observed on the watermarked sample data is more than compensated by the additionally available template that is transferred from the smart-card to the matching site via watermarking technology.

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“…In literature [3], a multimodal biometrics system using watermarking method with two level of security for verifying an individual and protecting the biometric template has been presented. A combined DWT and LSB based biometric watermarking algorithm which securely embedded a face template in a fingerprint image was proposed for multimodal identification [4]. Literature [5] encoded voice feature descriptors in raw iris images offering a secure biometric system.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers have proposed some methods to protect the security and integrity of biometric images by encryption [1][2] and data hiding [3][4][5][6][7]. However, encryption can not provide enough security once the data is decrypted.…”

Section: Introductionmentioning

confidence: 99%

An improved reversible hiding method for multimodal biometrics

Dai

et al. 2011

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)

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In this paper, an improved reversible data hiding approach based on correlation analysis for multimodal biometric identification is proposed to ensure the security and integrity of multimodal biometric images. Considering the characteristics of biometrics, correlation analysis is first utilized between the face image and the palm image to enhance the security, and a residual image is obtained by exploiting the spatial and content correlation. Then an improved method is presented to embed the residual palm image into face image for secure transmission. Finally, image authentication is performed for further multimodal biometric identification at the receiver. Once images are authentic, identification is carried out for further identity authentication. Experimental results demonstrate that our proposed method has better quality than the previous work and the perfect security performance is validated on biometric identification. *

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Protecting Iris Images through Asymmetric Digital Watermarking

Cited by 48 publications

References 6 publications

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Two-Factor Biometric Recognition with Integrated Tamper-Protection Watermarking

An improved reversible hiding method for multimodal biometrics

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