The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we have employed a machine learning approach for automatic classification of healthy and pathological gait signals and subsequent identification of the neurological disorder in the pathological gait signals. The machine learning algorithm we have proposed is the Logit model of the Logical Regression Classifier. As the process of walking is automatically controlled by the nervous system...
Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful characteristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition devices, which make it attractive for civil and commercial applications. Accordingly, a wide research has been developed in this field. Nevertheless, there...
In this work, the Curvelet transform is proposed as a fairly new feature extraction method for palmprint recognition. Particularly, a multiscale analysis has been performed at four levels, assessing and combining the features extracted at each level in order to find those which better represent the palmprint. Feature matching has been conducted by means of Euclidean distance and Support Vector Machines...
The high-level feature representation of deep convo-lutional neural networks (ConvNets) has proven to be superior to hand-crafted low-level features. Thus, this study investigates the effect of fusing such high-level features from multi-deep ConvNets under an application of visual object/scene categorization. In which, three pre-trained ConvNets are exploited as feature extractors, a single hidden...
Contrast is a very important characteristic for visual perception of image quality. Some No-Reference Image Quality Assessment Algorithm NR-IQA metrics for Contrast-Distorted Images (CDI) have been proposed in the literature, e.g. Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and NR-IQA for Contrast-Distorted Images (NR-IQACDI). Here, we intend to improve the assessment...
Objective: For long-term electrocardiography (ECG) recordings, accurate R-wave detection is essential. Several algorithms have been proposed but not yet compared on large, noisy, or pathological data, since manual ground-truth establishment is impossible on such large data. Methods: We apply the simultaneous truth and performance level estimation (STAPLE) method to ECG signals comparing nine R-wave...
Identification and apprehension of criminals by matching facial sketches with photographic faces is one of the major law enforcement applications of the modern world. Majority of the crime occur where there will not be any information available regarding the suspect. In such situation, forensic sketch artist who usually deal with the eyewitness of the crime or victim in order to draw the sketch that...
Palmprint recognition has received in the last 20 years a great deal of the research community's attention. In this paper a new palmprint matching approach based on corner feature point extraction is proposed. A 72-element fixed-length descriptor is used to capture distinctive information of each feature point neighborhood and to build a measure of similarity whilst their coordinates provide a measure...
Agricultural textures are in the interest of classification in image processing. Natural images have unique textural shapes inside which cause a tough problem for classification. This paper tests different feature extraction and classification approaches to serve a benchmarking on several agricultural databases like seeds and leaves. Features are obtained using Local Binary Pattern (LBP), Gray Level...
Skew angle detection is one of the most important component of Optical Characters Recognition (OCR) systems and documents analysis. Taking documents by the blind and visually impaired people with a mobile phone always have a degree of inclination. In this paper, a novel and an efficient method based on extraction of Harris corner features points and Hough transform is presented to estimate skew angle...
Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and No-Reference Quality metric for Contrast-Distorted Images (NR-IQACDI) are the state-of-the-art IQA for Contrast-Distorted Images (CDI). Nevertheless, there is room for improvement especially for the assessment results using image database called TID2013 and CSIQ. Most of the existing No-Reference Image Quality Assessment...
This special problem issue is intended to help in the detection and face recognition in order to arrest suspects for investigative by using techniques and tricks “Eigen Face” and pairing with “SIFT” (Scale invariant Feature Transform). If it found to be suspect, it will hit the frame surrounding the face of the suspect and the suspect's case number. Then, it will pair face to face in a database system...
Speaker verification suffers from serious performance degradation under speaking rate mismatch condition. This degradation can be largely attributed to the spectrum distortion caused by different speaking rates. This paper proposes a feature transform approach which projects speech features in slow speaking rates to features in normal speaking rates. The feature space maximum likelihood linear regression...
A number of researchers have proposed numerous methods in fingerprint matching aspect, especially, in term of speed and memory consumption for decades. However, the problem of the matching accuracy remains until recent days, which is obviously caused by distortions. In this paper, the Two Level of Scoring System is an extension modified from original Hough transform (HT) approach, which is proposed...
In this paper, we propose a novel multiple categories classification approach based on the Bayesian decision classification method using the dense SIFT feature. First, the dense scale invariant feature transform (SIFT) feature for each image belonging to various categories is extracted as image representation. Second, the statistical models for multiple categories are established by estimating the...
The development of non-invasively derived measures for accurately detecting pathologies that can remove practitioner subjectivity and can save time and cost is an ongoing goal in the field of clinical voice assessment. In this paper the disordered voice samples are detected by deriving Modified Mellin Transform of Log Spectrum (MMTLS) of the voice signals as the feature. Mellin Transform is an integral...
Palmprint identification is a popular biometric technology used for personal characterization. Traditional palmprint recognition methods are mostly based on acquisition devices with contact, and this, may affect their user friendliness. In this paper, a toucheless palmprint identification method based on Scale Invariant Feature Transform (SIFT) descriptors and sparse representation method is proposed,...
in recent years, digital painting collections are available to the public and this is growing in museums digital galleries. With the availability of large collections of digital, it is essential to develop multimedia systems for archiving and retrieving them. Recognition the style of each artist is one of the key issues, however, most artists do not identify their styles. Traditionally, people empirically...
Smile detection in the wild is an interesting and challenging problem. This paper presents an efficient approach with hierarchical visual feature to handle this problem. In our approach, Gabor filters with multi-scale, multi-orientation are first applied to extract facial textures namely Gabor faces from the input face image. After this, Histograms of Oriented Gradients (HOG) are employed to encode...
One of the challenges faced by automatic facial emotion recognition nowadays is the ability to deal with complicated environmental conditions such as noisy environments. In order to solve this problem, this paper aims to examine facial emotion recognition under noisy environment using empirical mode decomposition (EMD). EMD is a multiresolution technique which is adaptively decomposed nonstationary...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.