Computer Science & Engineering: Recent submissions
Now showing items 1321-1340 of 2402
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Letter-based classification of Arabic scripts style in ancient Arabic manuscripts
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and ... -
Unsupervised feature selection method for improved human gait recognition
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ... -
Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images
( IEEE Computer Society , 2015 , Conference Paper)This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ... -
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
( Springer Verlag , 2018 , Conference Paper)With multiple crowd gatherings of millions of people every year in events ranging from pilgrimages to protests, concerts to marathons, and festivals to funerals; visual crowd analysis is emerging as a new frontier in ... -
Automatic diagnosis of prostate cancer using multispectral based linear binary pattern bagged codebooks
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Cancer is classified by the World Health Organisation as a worldwide problem and its effect is increasing. A timely diagnosis is crucial and an early detection can be vital leading to an effective diagnosis. This paper ... -
A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ... -
Smart Medicine Planner for Visually Impaired People
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this project a novel and efficient Smart Medicine Planner (SMP) has been discussed. SMP will help people, especially blind and elderly people to presort their medication for the day. The system consists of two sub-systems ... -
Designing a Mobile Serious Game for Raising Awareness of Diabetic Children
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Mobile serious games are very important tools for self-learning, training, and edutainment. They can be used to improve the children's learning skills to grasp new concepts rapidly in an enjoyable manner. Fun, motivation, ... -
Comprehensive review of cybercrime detection techniques
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Cybercrimes are cases of indictable offences and misdemeanors that involve computers or communication tools as targets and commission instruments or are associated with the prevalence of computer technology. Common forms ... -
Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs ... -
Binarization of degraded document images using convolutional neural networks based on predicted two-channel images
( IEEE Computer Society , 2019 , Conference Paper)Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels. This paper proposes Convolutional Neural Networks (CNNs) based on ... -
Infrared Versus Visible Image Matching for Multispectral Face Recognition
( Springer , 2020 , Conference Paper)Multispectral face recognition has been an interesting area of research where images obtained from different bands are matched. There are many face image datasets available which contain infrared and visible images. In ... -
A comprehensive overview of feature representation for biometric recognition
( Springer , 2020 , Article)The performance of any biometric recognition system heavily dependents on finding a good and suitable feature representation space where observations from different classes are well separated. Unfortunately, finding this ... -
Mhad: Multi-human action dataset
( Springer , 2020 , Conference Paper)This paper presents a framework for a multi-action recognition method. In this framework, we introduce a new approach to detect and recognize the action of several persons within one scene. Also, considering the scarcity ... -
Towards a Comprehensive Study of Fatigue Deducing Techniques for Evaluating the Quality of Experience of Haptic-Visual Applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the advancement of cellular communications and the achievement of 5th Generation (5G) mobile networks, a new class of multimedia systems, refereed to as the Tactile Internet, is becoming more prominent. Consequently, ... -
LFR face dataset:Left-Front-Right dataset for pose-invariant face recognition in the wild
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the recognition of face under pose variations. Furthermore, the combination of pose estimation for each corresponding pose in a separate ... -
Wireless Power Transmission for the Internet of Things (IoT)
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In some cases, long battery life may be essential to IoT devices, and early failures of actuators and sensors because of the rapid discharging of battery may lead to unacceptably high replacement costs. Critical to the ... -
Generating Images from Arabic Story-Text using Scene Graph
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this paper, we propose a new approach to generate descriptive images from simple Arabic text of stories for children to build a flexible and rich multimedia repository. To make it successful, we need to transform the ... -
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
An image steganography approach based on k-least significant bits (k-LSB)
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Image steganography is the operation of hiding a message into a cover image. the message can be text, codes, or image. Hiding an image into another is the proposed approach in this paper. Based on LSB coding, a k-LSB-based ...