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Nowadays forensic document examiners (FDE) have to analyse more and more signatures captured by digital devices. While they can still use the static image of the signature, it has been proven that the dynamic information contains very discriminative information. This paper is focused on dynamic signature recognition applied to forensic scenarios. An automatic featured-based or global recognition system...
Recent research in the area of automatic machine recognition of human faces has shown that there may be an advantage in utilizing face symmetry to improve recognition accuracy. While promising, this work has led to several open questions. What is a good feature description or score of the symmetry of the face? Is there a statistical significance between face symmetry and face recognition? We present...
Texture features alone cannot help us to recognize faces, because there may be several people with similar texture features. Likewise geometry based features can also be similar in different people. When the two methods are experimented separately, there may be inaccurate results. There might be better results when the two methods are combined and used. So this paper tries to evaluate the performance...
Face recognition from low-resolution images is a common yet challenging case in real applications. Since the high-frequency information is lost in low-resolution images, it is necessary to explore robust information in the low frequency domain. In this paper, we propose an effective local frequency descriptor (LFD) for low resolution face recognition, by building upon the ideas behind local phase...
We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual participants, and releases privacy-preserving answers to queries as they arrive. Our primary contribution is a new differentially private multiplicative weights mechanism for answering a large number of interactive counting (or linear) queries...
The lip-region can be interpreted as either a genetic or behavioral biometric trait depending on whether static or dynamic information is used. Despite this breadth of possible application as a biometric, lip-based biometric systems are scarcely developed in scientific literature compared to other more popular traits such as face or voice. This is because of the generalized view of the research community...
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local difference and uses the histogram of the binary code to model the given image. However, the directional statistical information is ignored in LBP. In this paper, some directional statistical features, specifically the mean and...
In this paper, we develop a novel 3D face recognition algorithm based on Local Binary Pattern (LBP) representation under expression varieties. First, to enable the application of LBP representation framework, a special feature-based 3D face division scheme is proposed. Then, the LBP framework for 3D face representation is described, and the facial depth and normal information are extracted and encoded...
The computation efficiency in human identification problem is a very important issue when the number of database templates is large. In this paper, we propose a histogram based approach to improve the computation efficiency for human gait classification. We convert the human gait classification problem to a histogram matching problem. In order to speed up the recognition process, we adopt a multi...
This paper presents two new preprocessing techniques for cursive script recognition. Enhanced algorithms for core-region detection and effective uniform slant angle estimation are proposed. Reference lines composed of core-region are usually obtained as the ones surrounding highest density peaks, but are strongly affected by the presence of long horizontal strokes and erratic characters in the word...
In this paper, we propose an object detection method that uses Joint features combined from multiple Histograms of Oriented Gradients (HOG) feature using two-stage boosting. There has been much research in recent years on statistical training methods and object detection methods that combine low-level features obtained from local areas. In our approach, multiple low-level HOG features are combined...
A novel shape descriptor based on the histogram matrix of pixel-level structural features is presented. First, length ratios and angles between the centroid and contour points of a shape are calculated as two structural attributes. Then, the attributes are combined to construct a new histogram matrix in the feature spacestatistically. The proposed shape descriptor can measure circularity, smoothness,...
This paper investigates the possibility that uses Scale-Invariance Feature Transform (SIFT) feature for face identification. However, it is impossible to employ these SIFT keys,i.e. feature vectors, for identification directly, due to the space incompatible of such SIFT keys. To this end, the Bag-of-words (Bow) vector quantization introduced from scene or text classification is conducted for unifying...
This paper evaluates different Restricted Boltzmann Machines models in unsupervised, semi-supervised and supervised frameworks using information from human actions. After feeding these multilayer models with low level features, we infer high-level discriminating features that highly improve the classification performance. This approach eliminates the difficult process of selecting good mid-level feature...
Color is the main source of information particularly for content-analysis and retrieval. Most of the color descriptors, however, show severe limitations and drawbacks due to their incapability of modeling the human color perception. Moreover, they cannot characterize all the properties of the color composition in visual scenery. In this paper we present a perceptual color feature, which describes...
In this paper, we describe the Gaussian Weighted Histogram Intersection (GWHI) algorithm. The algorithm is able to provide positive results in image retrieval. But the histogram algorithm alters the histogram of an image using particular lighting conditions. Even two images with little differences in lighting are not easily matched. Therefore, we propose that the Histogram Matching Algorithm (HMA)...
Local binary patterns (LBP) is one of the most used methods in face recognition. This paper presents a different way of obtaining the regions that are used to construct the LBP histograms, in order to improve its performance in front of illumination problems. The proposed method takes into account the shape of the face to build a triangular mesh in which a better description of the face image through...
In this paper, we present a set of texture features that are locally invariant to similarity or affinity. The proposed indexing scheme relies on the topographic map, a shape-based representation of images. Thanks to the hierarchical organization of the topographic map, the approach gives a grip on the multi-scale structure of textures. Using simple one dimensional histograms, the method is shown to...
Recognizing texts from camera images is a known hard problem because of the difficulties in text segmentation from the varied and complicated backgrounds. In this paper, we propose an algorithm that employs two novel filters and a basic component-based text detection framework. The framework uses the Niblack algorithm to threshold images and groups components into regions with commonly used geometry...
This paper presents a novel approach for automated segmentation of the vasculature in retinal images. The approach uses the intensity information from red and green channels of the same retinal image to correct nonuniform illumination in colour fundus images. Matched filtering is utilized to enhance the contrast of blood vessels against the background. The enhanced blood vessels are then segmented...
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