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This paper evaluates the performance of the twelve primary systems submitted to the evaluation on speaker verification in the context of a mobile environment using the MOBIO database. The mobile environment provides a challenging and realistic test-bed for current state-of-the-art speaker verification techniques. Results in terms of equal error rate (EER), half total error rate (HTER) and detection...
We propose a simple yet efficient approach to face authentication using local binary patterns (LBP) and histogram adaptation. First, a generic face model is constructed as the LBP histogram extracted from the face images of different users. Then, MAP adaptation technique is applied to obtain the user-specific LBP histogram using the generic model as a prior. We propose a decision rule based on Chi-square...
Nowadays, under controlled conditions the speaker verification systems based on the GMM-UBM paradigm show very good performance. However, in forensic investigation activities the conditions; in which recordings are acquired; are uncontrollable, a naive use of the baseline GMM-UBM system without feature normalization, model transformation and score normalization techniques yields to unreliable forensic...
With the increased use of biometrics for identity verification, there have been a similar increase in the use of multimodal fusion to overcome the limitations of unimodal biometric systems. While there are several types of fusion (e.g. decision level, score level, feature level, sensor level), research has shown that score level fusion is the most effective in delivering increased accuracy. Recently...
Although information fusion in unimodal or multimodal biometric systems can be performed at various levels, integration of the matching score level is the most common approach. Starting from the fact; that the fusion will be efficient if and only if the fused approaches are complementary not fully competitive. We propose in this paper the fusion of two projection based face recognition algorithms:...
In this paper, we introduce 2DPCA, DiaPCA and DiaPCA+2DPCA in DCT domain for the aim of face recognition. The 2D DCT transform has been used as a preprocessing step, then 2DPCA, DiaPCA and DiaPCA+2DPCA are applied to a wtimesw upper left block of the global 2D DCT transform matrix of the original images. The experiments which are performed on the ORL face database show that: in addition to the expected...
Starting from the fact of the lack of Arabic databases dedicated to performance evaluation of speaker recognition and forensic reporting systems. We present in this paper our experience in constructing an Algerian dialect database and the motivation beyond this work. After that, the corpus based Bayesian framework for interpretation of evidence in forensic systems in terms of likelihood ratio (LR)...
This paper presents a framework for the Gaussian mixture models-Universal Background Model (GMM-UBM) system, which has proved to be an effective probabilistic model for speaker verification, and has been widely used in most of state-of-the-art systems. In this work we focus on different feature extraction techniques, and different client model training strategies. An experimental evaluation of this...
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