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Lying is among the most common wrong human acts that merits spending time thinking about it. The lie detection is until now posing a problem in recent research which aims to develop a non-contact application in order to estimate physiological changes. In this paper, we have proposed a preliminary investigation on which relevant acoustic parameter can be useful to classify lie or truth from speech...
The online writer identification is a required component in many applications of Computer vision and Pattern Recognition. The offline writer identification is more developed in literature due to the use of traditional system based on Image Processing. There is a lack of works done in the case of online writer identification. In this paper, we propose a novel method to text independent writer identification...
This paper presents a comprehensive experimental study on face recognition to prove that holistic approaches are more robust than geometric and local approaches in order to address the problem of which method holistic or geometric can assist to face recognition. This work is done based on the motivation to integrate soft biometric traits into face recognition systems using same computing. A bag of...
This paper proposes an automatic text-independent online Arabic writer identification system. The main contribution of our system is to explore the utility of Beta-elliptic model in features extraction for online writer identification, due to the rich output of Beta-elliptic model in terms of graphical, kinematical and biometrical data. The efficiency of the considered features has been evaluated...
Horses recognition is an important task especially for horses' trainers. It is necessary in this case to identify each horse to be distinguished. All methods used for identification are invasive and threaten the well-being of horses like Tatto and Freeze branding. So, for this reason we aim to create a human method of identification using the facial biometric modality. We tested the Gabor and LBP...
Face Recognition is among the most widely studied problems in computer vision and Pattern Recognition. Face has many advantages like permanence, accessibility and universality. It is still now not solved in literature. Several approaches are proposed to overcome with problems including; changing posed, emotional states, and illumination variation, etc. Geometric approaches which used as example distance...
Face recognition is very used in biometric market for many reasons. Face can be detected at distance without user's implication in enrollment process. Face recognition systems are still expanded in video surveillance areas to control access. This paper presents an experimental study on some proposed face recognition approaches by building systems with different techniques for features extraction and...
Face recognition is a very popular biometric solution in the literature. Several solutions are presented to meet the needs of individual's verification or identification. There are three types of face recognition approaches: local, global and hybrid. In this paper, we proposed a local approach for face recognition based on combined features selection methods like Genetic algorithm, Gramdt Shmidt algorithm,...
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