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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...
Industrial use of Model Driven Engineering techniques has emphasized the need for efficiently store, access, and transform very large models. While scalable persistence frameworks, typically based on some kind of NoSQL database, have been proposed to solve the model storage issue, the same level of performance improvement has not been achieved for the model transformation problem. Existing model transformation...
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...
Face sketch to digital image matching is an important challenge of face recognition that involves matching across different domains. Current research efforts have primarily focused on extracting domain invariant representations or learning a mapping from one domain to the other. In this research, we propose a novel transform learning based approach termed as DeepTransformer, which learns a transformation...
Breast mass segmentation in digital mammography is one of the most significant methods of breast cancer prevention. An integrated approach for mammographic mass segmentation is proposed in this paper. Given a mammographic image, it is first eliminated interference and enhanced in the preprocessing states. Then, the preprocessed images are detected and segmented by level set method. A preliminary evaluation...
Aiming at complex series product, the middle-structure modeling method based on features is put forward and the parametric design method is studied to realize the quick design and provide the digital model for latter simulation and manufacturing. Taking the 2K-V reducer as an example, the middle-structure model of the product is created, which can be transformed into the instance product through the...
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...
Epilepsy is a typical neurological disorder. To find the characteristics of epilepsy, scalp level connectivity is one of the interests that widely studied before. However, another aspect about the scalp representative channels, which presents the synchronous regions, has not yet been investigated. In this work, we focus on study the scalp responses of epilepsy by connectivity and representative channels...
Apache Hive, Apache Pig and Pivotal HWAQ are very popular open source cluster computing frameworks for large scale data analytics. These frameworks hide the complexity of task parallelism and fault-tolerance, by exposing a simple programming API to users. In this paper, we discuss the major architectural component differences in them and conduct detailed experiments to compare their performances with...
The impressive amount of recent technological advancements in the area of information systems have brought along, besides the multitude of positive aspects, some negative aspects too. The most obvious one is represented by the fact that the technological innovations are prone to various categories of threats. Making sure that information stays safe, unaltered and secret is an integral part of providing...
Infantile hemangiomas (IH) are a type of benign vascular tumors that appear within the first 5 months of life. The assessment of lesion size and its evolution in time is done manually by the physician, using a ruler, and this measurement is not very accurate. This paper presents a method for automatic measurement of the IH size. The work is divided in two parts: automatic computation of the size of...
Physical library collections are valuable and long standing resources for knowledge and learning. However, managing and finding books or other volumes on a large collection of bookshelves often leads to tedious manual work, especially for large collections where books or others might be missing or misplaced. Recently, deep neural-based models have been successful in detecting and recognizing text...
Embedded dictation, i.e. recognizing vocal commands in noisy environments, with good accuracy and using low complexity implementations is a desirable task with many applications. Such applications include automotive infotainment solutions particularly when no connectivity is available, personal assistants including embedded dictation solutions for disabled people, and so on. This paper reports our...
Paroxysmal tachycardia (supraventricular and ventricular) is an episodic condition with an abrupt onset and termination followed by a rapid heart rate, usually between 140 and 250 beats per minute. Paroxysmal tachycardia can be discovered by detecting a QRS complex in ECG signals. Supraventricular tachycardia is characterized by a narrow QRS complex, and on the other side, ventricular tachycardia...
In this paper, we have implemented and tested a system of detection and recognition of road signs. The approach taken in this work consists of two main modules: a sensor module, which is based on color segmentation and shape detection where we converted the images to the HSV color space, then labeled the detected regions and tested for their shape. A recognition module, Template Matching, whose role...
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