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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(More)
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 on the upper left corner block of the global 2D DCT transform matrix of the original images. The ORL face database is used to compare the(More)
In this paper, we present a method for skew angle detection of printed documents which is based on the linear regression analysis and wavelet transform, with skew angle toleration between 0° and 180°. In this work, the anisotropic diffusion was introduced as a step of pre-processing in order to reinforce the difference between areas and to eliminate the(More)
This paper introduces a new algorithm called " Adaptive Multimodal Biometric Fusion Algorithm " (AMBF), which is a combination of Bayesian decision fusion and particle swarm optimization. A Bayesian framework is implemented to fuse decisions received from multiple biometric sensors. The system's accuracy improves for a subset of decision fusion rules. The(More)
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