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The human face is one of the easiest characteristic, which can be used in biometric security system to identify a user. Face recognition technology, is very popular and it is used more widely because it does not require any kind of physical contact between the users and the device. Camera scans the user face and match it to a database for verification. Furthermore, it is easy to install and does not...
Limited size of object images and lack amount of training data would degrade the performance seriously in modern-day recognition applications. Therefore, how to effectively utilize available information from images becomes more and more important. In this paper, we propose to extend the linear regression classification (GLRC), which can effectively use all the information in cases of multiple inputs,...
In this paper, we propose a new system for identification and verification of offline handwriting signature. The identification allows knowing the owner of such a signature, whereas the verification allows verifying the authenticity of a given signature. In recognition systems, the phase of feature extraction represents the most pertinent step. Therefore, we opted to use the fractal approach which...
In this work we present an extension of the SIFT algorithm to color images. In the extrema detection stage, an energy level descriptor based on the color tensor of the image is computed and used to locate keypoints candidates. Then, in the description stage, the color gradient magnitude and orientation of the samples around the keypoint are used to compute an orientation histogram to create the keypoint...
In this paper, a method with a significantly reduced feature set is described which recognizes human actions from video sequences. The proposed method is based on the natural domain knowledge of the human figure such as proportions of the human body. The method is evaluated on two of the publicly available databases in the literature of activity recognition, the Weizmann and the UIUC databases. Results...
The images of lace textile are particularly difficult to be analyzed in digital form using classical image processing techniques. The major reasons of this difficulty emerge from the complex nature of lace which generally has different textures in its constituents like the background and patterns. In this paper, we study the behavior of Image Histogram (HistI) and Local Binary Patterns (LBP) on image...
In different color spaces, the three color channels might have different relationship, but most of color face recognition methods exploit the color information in a simple way. In this paper, we propose a novel hybrid fusion scheme for color face recognition, which first uses two-phase test sample representation (TPTSR) to obtain matching scores of each color channel of the test sample and then uses...
In this research paper an extensive literature survey on different types of feature extraction techniques is reported. To provide an extensive survey, we not only categorize existing feature extraction techniques but also provide detailed descriptions of representative approaches within each category. These techniques are simply classified into four major categories, namely, feature based approach,...
we propose a hybrid method that integrates the minutiae and their local neighborhood information. This contribution can be seen as a validation step of the minutiae triplets matching performed in a recent algorithm: M3gl. We aim to improve the result of the minutiae triplets matching stage. The characterization of the neighborhood of each triplet is established by a unique feature vector. This descriptor...
Gabor wavelets (also known as Gabor filters) and Singular Value Decomposition (SVD) have been exploited extensively in the area of face recognition. In this paper, a face recognition system is developed combining features extracted using both Gabor wavelets and SVD. For Gabor wavelets, the extracted feature vectors are selected from only 12 out of 40 Gabor wavelets. The outputs from the 12 filters...
In this paper, visual attention transfer is formulated as a nonlocal diffusion equation. Different from the other diffusion based method, a nonlocal diffusion tensor is introduced to consider both the diffusion strength and direction. Along with the principle direction, the diffusion should be suppressed to preserve the dissimilarity between the foreground and background, and in other directions,...
Real world materials often change their appearance over time. If these variations are spatially and temporally homogeneous then the material visual appearance can be represented by a dynamic texture which is a natural extension of classic texture concept including the time as an extra dimension. In this article we present possible way to handle multispectral dynamic textures based on a combination...
The locations of WiFi access points (APs) are important for WiFi positioning, especially when a propagation model is used. However, AP localization is usually challenging in a new environment because it is hard to obtain parameters for the propagation model, such as the path-loss exponent without the presence of surveyed database. This paper introduces a novel crowdsourcing method for automatic AP...
Recent studies on ECG signals proved that they can be employed as biometric traits able to obtain sufficient accuracy in a wide set of applicative scenarios. Most of the systems in the literature, however, are based on templates consisting in vectors of integer or floating point numbers. While any numerical representation is inherently binary, in here we consider as binary templates only those codings...
During the last decades, several different techniques have been proposed for computer recognition of human faces. A further step in the development of these biometrics is to implement them in portable devices, such as mobile phones. Due to this devices' features and limitations it is necessary to select, among the currently available algorithms, the one with the best performance in terms of algorithm...
We present here a transaction management protocol using causal snapshot isolation in partially replicated multi-version databases. We consider here replicated databases consisting of multiple disjoint data partitions. A partition is not required to be replicated at all database sites, and a site may contain replicas for any number of partitions. Transactions can execute at any site and read or write...
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...
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