تصفح حسب المؤلف "Akbari Y."
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A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
Akbari, Y.; Al-Maadeed, Somaya; Almaadeed, N.; Najeeb, A.A.; Al-ali, A.; Khelifi, F.; Lawgaly, A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ... -
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 ... -
Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
Akbari Y.; Al-Maadeed, Somaya; Adam K. ( 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 These methods have problems when faced with degraded historical documents.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
Akbari Y.; Britto A.S.; Al-Maadeed, Somaya; Oliveira L.S. ( IEEE Computer Society , 2019 , Conference Paper)Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels.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 ... -
COVID-19 lesion segmentation using lung CT scan images: Comparative study based on active contour models
Akbari Y.; Hassen H.; Al-Maadeed, Somaya; Zughaier S.M. ( MDPI , 2021 , Article)Pneumonia is a lung infection that threatens all age groups. In this paper, we use CT scans to investigate the effectiveness of active contour models (ACMs) for segmentation of pneumonia caused by the Coronavirus disease ... -
ICFHR 2018 competition on multi-script writer identification
Djeddi C.; Al-Maadeed S.; Siddiqi I.; Abdeljalil G.; He S.; Akbari Y.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper describes the ICFHR 2018 Competition on Multi-script Writer Identification with details on the competition tasks, databases employed, submitted systems, evaluation protocol and the reported results. The competition ... -
Off-line Persian Signature Verification using Wavelet-based Fractal Dimension and One-class Gaussian Process
Shariatmadari S.; Al-Maadeed S.; Akbari Y.; Rida I.; Emadi S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper presents a novel individual verification approach through off-line handwriting signatures. In our proposed technique, images are decomposed into an series of wavelet sub-bands at some specific levels. In order ... -
Patch-based offline signature verification using one-class hierarchical deep learning
Shariatmadari S.; Emadi S.; Akbari Y. ( Springer Verlag , 2019 , Article)Automatic processing of offline signature verification (in general) can be considered as a low-cost solution to problems in biometrics in comparison with other solutions (e. g. fingerprint, face verification, etc.). This ...