Performance Evaluation of Watermarking Techniques for Secure Multimodal Biometric Systems

Moon, Daesung; Kim, Taehae; Jung, Seunghwan; Chung, Yongwha; Moon, Kiyoung; Ahn, Do-Seob; Kim, Sang-Kyoon

doi:10.1007/11596981_94

Cited by 34 publications

(7 citation statements)

References 9 publications

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Section: Watermarking In Biometric Systemsmentioning

confidence: 99%

“…Chung et al [2,11] use the same watermarking technique as well to embed fingerprint templates into facial images and vice versa, and compare the recognition performance of the resulting systems. They also use this embedding technique as the fragile part of a dual watermarking approach [11,10] so that doubts remain about the actual robustness properties of the scheme. Vatsa et al employ robust embedding techniques: in [18], they embed voice features in colour facial images, the same group [12,19] propose to embed facial template data (and additional text data in the first work) into fingerprint sample data using a robust (multiple) watermarking approach.…”

Section: Watermarking In Biometric Systemsmentioning

confidence: 99%

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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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Section: Watermarking In Biometric Systemsmentioning

confidence: 99%

Section: Watermarking In Biometric Systemsmentioning

confidence: 99%

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Hämmerle-Uhl

Raab

Uhl

2011

Lecture Notes in Computer Science

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“…The results have shown that 100% of the minutiae points were recovered thus proving that the watermarked fingerprint image does not degrade performance. Moon et al [11] proposed several watermarking techniques to increase safety of biometric system by using a fingerprint and a face image. Superior verification accuracy was achieved by embedding fingerprint features into a face image, which is not the case when facial features were embedded into a fingerprint image.…”

Section: Related Workmentioning

confidence: 99%

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

Adamović¹

2017

Proceedings of the International Scientific Conference - Sinteza 2017

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Abstract:In this study, we review digital watermarking techniques used for protection of biometrical data in authentication services based on biometry. In addition to the development of protection biometrical templates, there has been a breakthrough in additional privacy protection within biometrical systems that perform authentication without preserving biometry in their databases. We begin with theoretical foundations of digital watermark and biometry and then review current research advances in this area, which combine the two technologies and thus create a new ground for exploration better known as biometrical watermarking.

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“…In [4], face and text information are embedded in texture regions of fingerprint image using Discrete Wavelet Transform (DWT). Moon et al [5] presented various watermarking techniques for secure multimodal biometric systems using both fingerprint and face information. In their experimental results, it has been shown that embedding fingerprint features into a face image provides superior performance than embedding facial features into a fingerprint image in terms of user verification accuracy.…”

Section: Introductionmentioning

confidence: 99%

Watermarking Based Multi-biometric Fusion Approach

Ghouzali

2015

Lecture Notes in Computer Science

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Abstract. In this paper we present a watermarking based multibiometric fusion method that can embed fingerprint minutia information into host face images in the DCT (Discrete Cosine Transform) domain. This scheme has the advantage that in addition to prevent unauthorized biometric data manipulations, the biometric authentication can be performed efficiently using the fused biometric data without the need to extract the watermark. Orthogonal Locality Preserving Projections (OLPP) method is used in this approach to extract the most pertinent features which are beneficial to identification of the watermarked face images. Preliminarily results using ORL and Yale face databases, and FVC2002 DB2 fingerprint database show the effectiveness of the proposed approach in achieving good authentication performance while preventing unauthorized manipulations of biometric data.

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Performance Evaluation of Watermarking Techniques for Secure Multimodal Biometric Systems

Cited by 34 publications

References 9 publications

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Attack against Robust Watermarking-Based Multimodal Biometric Recognition Systems

Digital Image Watermarking Techniques and Biometrics Data Security: A Review

Watermarking Based Multi-biometric Fusion Approach

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