Browsing Computer Science & Engineering by Subject "Feature extraction"
Now showing items 1-20 of 35
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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 ... -
AI-based Intrusion Detection for Intelligence Internet of Vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable ... -
An online signature verification system for forgery and disguise detection
( Springer , 2012 , Conference Paper)Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher ... -
Arrhythmia classification using DWT-coefficient energy ratios
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ... -
Arrhythmia classification using DWT-coefficient energy ratios
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Certain features present in electrocardiogram (ECG) signals are used to detect different heart conditions. Hence, by developing a system to extract these features, useful information related to the heart conditions could ... -
Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this paper, we propose an automatic electronic gate system with authenticity confirmation from 3 individual modules, viz., car make and model, license plate and face detection. The ultrasonic sensor detects the stopped ... -
Automatic handedness detection from off-line handwriting
( IEEE , 2013 , Conference Paper)In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ... -
Automatic prediction of age, gender, and nationality in offline handwriting
( Hindawi Publishing Corporation , 2014 , Article)The classification of handwriting into different categories, such as age, gender, and nationality, has several applications. In forensics, handwriting classification helps investigators focus on a certain category of ... -
Car Make And Model Detection System
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)The deployment of highly intelligent and efficient machine vision systems accomplished to achieve new heights in multiple fields of human activity. A successful replacement of manual intervention with their automated systems ... -
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
( Elsevier B.V. , 2015 , Article)In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ... -
Computer aided diagnosis system based on machine learning techniques for lung cancer
(2012 , Conference Paper)Cancer is a leading cause of death worldwide. Lung cancer is a type of cancer that is considered as one of the most leading causes of death globally. In Malaysia, it is the 3rd common cancer type and the 2nd type of cancer ... -
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ... -
Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation
( Elsevier Ltd , 2019 , Article)Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ... -
EEG feature extraction and selection techniques for epileptic detection: A comparative study
( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ... -
Efficient Quantum Image Classification Using Single Qubit Encoding
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The domain of image classification has been seen to be dominated by high-performing deep-learning (DL) architectures. However, the success of this field, as seen over the past decade, has resulted in the complexity of ... -
End-to-End Image Steganography Using Deep Convolutional Autoencoders
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Image steganography is used to hide a secret image inside a cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret ... -
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ... -
Feature fusion based on joint sparse representations and wavelets for multiview classification
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ... -
Handcrafted features with convolutional neural networks for detection of tumor cells in histology images
( IEEE Computer Society , 2016 , Conference Paper)Detection of tumor nuclei in cancer histology images requires sophisticated techniques due to the irregular shape, size and chromatin texture of the tumor nuclei. Some very recently proposed methods employ deep convolutional ... -
Iterative per Group Feature Selection for Intrusion Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ...
