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Now showing items 5271-5280 of 10228
Smartphone-based food recognition system using multiple deep CNN models
(
Springer
, 2021 , Article)
People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...
Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...
Novel Ternary Adder and Multiplier Designs without Using Decoders or Encoders
(
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 ...
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Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels.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 ...
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 ...
Efficient segmentation of sub-words within handwritten arabic words
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Segmentation is considered as a core step for any recognition or classification method and for the text within any document to be effectively recognized it must be segmented accurately. In this paper a text and writer ...
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 ...
Systolic architecture for hardware implementation of two-dimensional non-separable filter-bank
(
IEEE
, 2013 , Conference Paper)
In this paper, we present an efficient poly-phase decomposition scheme for implementation of 2-D non-separable filter bank. Poly-phase decomposition scheme offers multiplexing of filter bank computations or/and reduce the ...
The evolution of scholarly digital library needs in an international environment: Social reference management systems and Qatar
(
Springer Verlag
, 2013 , Conference Paper)
Qatar has become an active research producer of data, publications, and other scholarly works. We studied the evolving scholarly activities and needs of researchers in this relatively new research environment, and compared ...
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) ...