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Face recognition is biometric pattern recognition, which is more acceptable and convenient for users compared with other biometric recognition traits. Among many problems in face recognition system, pose problem is still considered as one of the major problem still unsolved in satisfactory level. This paper proposes a novel pose tolerant face recognition approach. Proposed system's contribution is...
Recently, advanced multimedia technologies enable a rapid growth of music data. It is accordingly a challenging issue to effectively retrieve the desired music pieces from a music collection. Traditional solutions for music retrieval can be divided into two types, namely text-based music retrieval and content-based music retrieval. However, it is difficult to satisfy both textual-percept and audio-content...
Today Human Computer Interaction (HCI) is one of the most important topics in machine vision and image processing fields. Through features can get beneficial information about the variety of emotions and gestures which are produced by the movements of facial major parts. In this paper we presented the technique of Pyramid Histogram of Oriented Gradient for feature extraction and compare it with gabor...
Regarding the palms recognition system studies, despite achieving a high success rate, hygiene problems in systems with contact and problems arising from changes in the alignment of the hand pose in non-contact ones have been encountered. To resolve these problems, 3D palmprint recognition systems have been developed, however these systems have not had the opportunity to spread due to expensive technologies...
The goal of this work is the identification of humans based on motion data in the form of natural hand gestures. The identification problem is formulated as classification with classes corresponding to persons' identities, based on recorded signals of performed gestures. The identification performance is examined with a database of twenty-two natural hand gestures recorded with two types of hardware...
In view of the knowledge management of organizations, this paper focuses on the text knowledge management. The characteristics and problems of knowledge management of organizations are analyzed. The thought that text knowledge can be seen as services is put forward. The key technologies for building and managing text services are analyzed. Cloud architecture for text service management is put forward...
A dynamic facial expression recognition method based on the auto-regressive (AR) models using combined features of both shape and texture features is proposed in this paper. The AR model is effective to model complicated facial motions. In this work, six AR models are first learned for six basic expressions based on the fusion of shape and texture features of the difference between the neutral image...
This paper presents a multimodal biometric system for authentication, based on the fusion of iris and palmprint. We propose an approach for feature extraction of each modality by using wavelet packet decomposition at four levels. This gives 256 packets which can generate a compact binary code. It is obtained from the first three highest energy peaks to compute an adapted threshold that enable to affect...
Type-2 Diabetes (T2D) is a dreadful disease affecting hundreds of millions of people worldwide, and is linked and worsen by unhealthy lifestyles, especially the poor diet style. However, managing daily diet effectively remains highly challenging for both T2D patients and doctors. In this paper, we proposed, built, and evaluated an effective food classification tool using mobile computing and predictive...
Hand gesture recognition plays a vital role in developing vision-based communication for human-computer interaction. This paper presents a novel static hand gesture recognition method using the two dimensional Zernike moments (2D ZMs) those are considered as effective features when patterns in images possess distortions due to rotation, scaling or viewing angle. The key contribution of this paper...
In this paper, we propose a simple and fast method for evaluating the pathological voice (esophageal) by applying the continuous speech recognition in a speaker dependent mode, on our own database of the pathological voice, we call FPSD (French Pathological Speech Database). The recognition system used is implemented using the HTK platform, based on HMM/GMM monophone models. The acoustic vectors are...
In this paper, we propose a novel feature extraction method called double sparse local Fisher discriminant analysis (DSLFDA), which is an extension of the local Fisher discriminant analysis (LFDA) algorithm. The proposed method combines the idea of sparse representation to construct an adaptive graph to describe the structure information of the samples. Meanwhile, to obtain the sparse projection vectors,...
A texture descriptor based on a set of indices of degrees of local approximating polynomials is proposed in this paper. An image is split into non-overlapping patches, reshaped into one-dimensional source vectors and convolved with the polynomial approximation kernels of various degrees p. As a result, a set of approximations is obtained. For each element of the source vector, these approximations...
In this work we focus on Emarati speaker identification systems in neutral talking environments based on each of Vector Quantization (VQ), Gaussian Mixture Models (GMMs), and Hidden Markov Models (HMMs) as classifiers. These systems have been tested on our collected Emarati speech database which is composed of 25 male and 25 female Emarati speakers using Mel-Frequency Cepstral Coefficients (MFCCs)...
This paper presents a method for reconstructing missing audio segments based on sparse representation with power spectrogram. In the proposed method, an error of power spectrograms is utilized as a quality measure representing reconstruction performance. Then the proposed method estimates missing segments based on sparse representation optimized with respect to the error of power spectrograms. This...
A novel method for liveness detection of dorsal hand vein (DHV) based on AR model is proposed. Firstly, existing real DHV images are used to constitute a projection space based on modified principal component analysis (PCA). Unlike the previous works using the method of PCA, zero eigenvalues with their eigenvectors are used to constitute the projection space in this work. Secondly, test samples, including...
Handwritten Signature Verification (HSV) systems have been introduced to automatically verify the authenticity of a user signature. In offline systems, the handwritten signature (represented as an image) is taken from a scanned document, while in online systems, pen tablets are used to register signature dynamics (e.g., its position, pressure and velocity). In online HSV systems, signatures (including...
Training for balancing, which is governed by the motion of pelvis and thorax, is a key for gait rehabilitation. COWALK, which is a gait rehabilitation robot under development in our institute, is capable of pelvic motion training. In this paper, we describe a statistical method to generate pelvic motion which is considered to fit each person, i.e., personalized pelvic motion. We measured 14 anthropometric...
Learning to predict the effects of actions applied to pairs of objects is a difficult task that requires learning complex relations with sparse, incomplete and noisy information. Our Knowledge Propagation approach propagates affordance predictions by exploiting similarities among object properties, action parameters and resulting effects. The knowledge is propagated in a graph where a missing edge,...
This article focuses on the problem of modifing the standard face identification approach for use in small-scale social dynamic environments, by focusing on adaptability rather than robustness. A design of adaptive face identification system is presented, along with the employed methods of online learning. The problem of ensuing bias-variance dilemma of an adaptive system is described and solved....
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