Browsing by Author "Al Maadeed, Somaya"
Now showing items 1-20 of 23
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A new chaos-based image-encryption and compression algorithm
Al-Maadeed,Somaya; Al-Ali A.; Abdalla T. ( Hindawi Publishing Corporation , 2012 , Article)We propose a new and efficient method to develop secure image-encryption techniques. The new algorithm combines two techniques: encryption and compression. In this technique, a wavelet transform was used to decompose the ... -
An improved palmprint recognition system using iris features
Laadjel M.; Bouridane A.; Nibouche O.; Kurugollu F.; Al-Maadeed, Somaya ( Springer , 2013 , Article)This paper presents a bimodal biometric recognition system based on the extracted features of the human palmprint and iris using a new graph-based approach termed Fisher locality preserving projections (FLPP). This new ... -
An online signature verification system for forgery and disguise detection
Hassane A.; Al-Maadeed, Somaya ( 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 ... -
Applications, databases and open computer vision research from drone videos and images: a survey
Akbari Y.; Almaadeed N.; Al-Maadeed, Somaya; Elharrouss O. ( Springer Science and Business Media B.V. , 2021 , Article)Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ... -
Enabling indexing and retrieval of historical Arabic manuscripts through template matching based word spotting
Faisal T.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)We present a holistic segmentation-free query by example word spotting technique based on template matching. We have applied this technique to a dataset of historical Arabic handwritten manuscript images. First, the documents ... -
Gait recognition for person re-identification
Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Bouridane A. ( Springer , 2021 , Article)Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the ... -
High-Precision Nonenzymatic Electrochemical Glucose Sensing Based on CNTs/CuO Nanocomposite
Geetha, Mithra; Maurya, Muni Raj; Al-maadeed, Somaya; Muthalif, Asan Abdul; Sadasivuni, Kishor Kumar ( Springer , 2022 , Article)The measurement of blood glucose levels is essential for diagnosing and managing diabetes. Enzymatic and nonenzymatic approaches using electrochemical biosensors are used to measure serum or plasma glucose accurately. ... -
ICDAR2015 competition on Multi-script Writer Identification and Gender Classification using 'QUWI' Database
Djeddi, Chawki; Al-Maadeed, Somaya; Gattal, Abdeljalil; Siddiqi, Imran; Souici-Meslati, Labiba; El Abed, Haikal... more authors ... less authors ( IEEE Computer Society , 2015 , Conference Paper)This competition targets writer identification and gender classification from offline handwritten documents using the QUWI database. The most interesting aspect of the competition is the use of a dataset with writing samples ... -
Image Generation: A Review
Elasri, Mohamed; Elharrouss, Omar; Al-Maadeed, Somaya; Tairi, Hamid ( Springer , 2022 , Article Review)The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ... -
Influence of codebook patterns on writer recognition: An experimental study
Djeddi C.; Siddiqi I.; Gattal A.; Al-Maadeed, Somaya; Ennaji A. ( Blackwell Publishing Ltd , 2021 , Article)Codebook-based writer characterization is an effective technique that has been investigated in a number of recent studies on identification and verification of writers. These methods divide a set of writing samples into ... -
LFR face dataset:Left-Front-Right dataset for pose-invariant face recognition in the wild
Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya ( 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 ... -
Memory footprint reduction for power-efficient realization of 2-D finite impulse response filters
Mohanty B.K.; Meher P.K.; Al-Maadeed, Somaya; Amira A. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)We have analyzed memory footprint and combinational complexity to arrive at a systematic design strategy to derive area-delay-power-efficient architectures for two-dimensional (2-D) finite impulse response (FIR) filter. ... -
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
N, Mishahira; Nair, Gayathri Geetha; Houkan, Mohammad Talal; Sadasivuni, Kishor Kumar; Geetha, Mithra; Al-Maadeed, Somaya; Albusaidi, Asiya; Subramanian, Nandhini; Yalcin, Huseyin Cagatay; Ouakad, Hassen M.; Bahadur, Issam... more authors ... less authors ( IEEE , 2022 , Conference Paper)cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Promit, Basak; Nazmus Sakib, A.H.M; Chowdhury, Muhammad E.H.; Al-Emadi, Nasser; Cagatay Yalcin, Huseyin; Pedersen, Shona; Mahmud, Sakib; Kiranyaz, Serkan; Al-Maadeed, Somaya... more authors ... less authors ( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
Novel Ternary Adder and Multiplier Designs without Using Decoders or Encoders
Aljaam J.M.; Jaber R.A.; Al-Maadeed, SomayaA. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Multiple-Valued Logic systems present significant improvements in terms of energy consumption over binary logic systems. This paper proposes new ternary combinational digital circuits that reduce energy consumption in ... -
Partial shoeprint retrieval using multiple point-of-interest detectors and SIFT descriptors
Al-Maadeed, Somaya; Bouridane A.; Crookes D.; Nibouche O. ( IOS Press , 2015 , Article)Shoeprint evidence collected from crime scenes can play an important role in forensic investigations. Usually, the analysis of shoeprints is carried out manually and is based on human expertise and knowledge. As well as ... -
Pose-invariant face recognition with multitask cascade networks
Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Khelifi F. ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification module is ... -
QUWI: An Arabic and English handwriting dataset for offline writer identification
Al-Maadeed, Somaya; Ayouby W.; Hassane A.; Aljaam J.M. ( IEEE , 2012 , Conference Paper)This paper presents a new offline dataset called the Qatar University Writer Identification dataset (QUWI). This dataset contains both Arabic and English handwritings and can be used to evaluate the performance of offline ... -
Recognition of off-line handwritten Arabic words using neural network
Al-Maadeed, Somaya ( IEEE , 2006 , Conference Paper)Neural network (NN) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for unconstrained Arabic handwritten word recognition based on a Neural network is proposed and ... -
The ICDAR2011 Arabic writer identification contest
Hassane A.; Al-Maadeed, Somaya; Alja'am J.M.; Jaoua A.; Bouridane A. ( IEEE , 2011 , Conference Paper)Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in ...