Institution
Banha University
Education•Banhā, Egypt•
About: Banha University is a education organization based out in Banhā, Egypt. It is known for research contribution in the topics: Medicine & Adsorption. The organization has 7344 authors who have published 10030 publications receiving 97921 citations.
Topics: Medicine, Adsorption, Population, Heat transfer, Nonlinear system
Papers published on a yearly basis
Papers
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TL;DR: This paper categorizes different ALPR techniques according to the features they used for each stage, and compares them in terms of pros, cons, recognition accuracy, and processing speed.
Abstract: Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment), and freeway and arterial monitoring systems for traffic surveillance. The ALPR uses either a color, black and white, or infrared camera to take images. The quality of the acquired images is a major factor in the success of the ALPR. ALPR as a real-life application has to quickly and successfully process license plates under different environmental conditions, such as indoors, outdoors, day or night time. It should also be generalized to process license plates from different nations, provinces, or states. These plates usually contain different colors, are written in different languages, and use different fonts; some plates may have a single color background and others have background images. The license plates can be partially occluded by dirt, lighting, and towing accessories on the car. In this paper, we present a comprehensive review of the state-of-the-art techniques for ALPR. We categorize different ALPR techniques according to the features they used for each stage, and compare them in terms of pros, cons, recognition accuracy, and processing speed. Future forecasts of ALPR are given at the end.
682 citations
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TL;DR: A hybrid model using deep and classical machine learning for face mask detection will be presented, and the SVM classifier achieved 99.64 % testing accuracy in RMFD.
540 citations
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TL;DR: In this paper, compositional dependence of optical and electrical properties of chalcogenide CdSxSe1−x (0.4 − 1−x) thin films was studied.
516 citations
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TL;DR: In this paper, it was found that the mucilage extracted from the modified stems of prickly pears, toward acid corrosion of aluminum, is tested using weight loss, thermometry, hydrogen evolution and polarization techniques.
423 citations
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TL;DR: In this article, a non-crystalline thin films of chalcogenide Cd 50 S 50−x Se x system were obtained by thermal evaporation technique onto a pre-cleaned glass substrate at a vacuum of 8.2 × 10 −4 ǫ.
412 citations
Authors
Showing all 7403 results
Name | H-index | Papers | Citations |
---|---|---|---|
Tawfik A. Saleh | 66 | 380 | 20924 |
Ahmad Taher Azar | 47 | 389 | 8847 |
Ahmed Salem | 38 | 271 | 6477 |
Amr S. Soliman | 38 | 182 | 4220 |
Mohamed A. Abdou | 36 | 406 | 6122 |
Hisham R. Ibrahim | 35 | 76 | 3652 |
Ahmed Okasha | 34 | 118 | 3328 |
Ahmed Farag Ali | 34 | 114 | 3759 |
Mohamed Khairy | 33 | 105 | 2771 |
Mark F. Green | 33 | 133 | 6641 |
Ashraf Ghanem | 32 | 117 | 3166 |
Khalid Z. Elwakeel | 31 | 65 | 2829 |
Ahmed Darwish | 30 | 180 | 2608 |
Ahmed M. Soliman | 30 | 173 | 2886 |
Mohamed Mokhtar Mohamed | 30 | 133 | 2774 |