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In this paper we present a new approach for biometric template protection. Our objective is to build a preliminary non-invertible transformation approach, based on random projection, which meets the requirements of revocability, diversity, security and performance. We use the chaotic behavior of logistic map to build the projection vectors using a new(More)
In this paper we present a new multi-view face recognition approach. Besides the recognition performance gain and the computation time reduction, our main objective is to deal with the variability of the face pose (multi-view) in the same class (identity). Several new methods were applied on face images to calculate our biometric templates. The Laplacian(More)
Unlike traditional authentication based on passwords, biometric authentication is seen as an alternative solution because it offers facility, comfort and more security to users. However, biometric systems based on the storage of user model in a database are vulnerable to attacks because the stored model can be stolen or illegitimately used by an attacker to(More)
Biometric systems are developed in order to replace traditional authentication. However, protecting the stored templates is considered as one of the critical steps in designing a secure biometric system. When biometric data is compromised, unlike passwords, it can't be revoked. One methodology for biometric template protection is 'Biometric Cryptosystem'.(More)
Personal authentication systems based on biometrics have given rise to new problems and challenges related to the protection of personal data, issues of less concern in traditional authentication systems. The irrevocability of biometric templates makes biometric systems very vulnerable to several attacks. In this paper we present a new approach for(More)
This paper presents a spatial biometric watermarking scheme for multimodal authentication system. This method embeds the face features (watermark) into the fingerprint image (cover) via a generated secret key to locate the pixels to be watermarked while preserving the fingerprint minutia points. The face features are extracted using Orthogonal Locality(More)
Biometric cryptosystems represent emerging techniques for biometric template protection. These cryptosystems are vulnerable to different types of attacks, as brute force attacks or correlation attacks if several templates are compromised. Another biometric security issue comes from certain biometric data (as fingerprint or face image) that can leave traces,(More)