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Ming Chen, Kai Huang, Jian Wang, Wenzhi Liu and Yuanyuan Shi
The reliability of urban transportation systems is crucial for ensuring smooth traffic flow and minimizing disruptions caused by external factors. This study focuses on improving the stability and efficiency of transportation systems through the calibrat...
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Shenghan Wei, Xiang Li, Yong Yao and Suixian Yang
As a practical application of Optical Character Recognition (OCR) for the digital situation, the digital instrument recognition is significant to achieve automatic information management in real-industrial scenarios. However, different from the normal di...
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E.E. Istratova,A.I. Gosteeva
Pág. 30 - 37
The article presents the results of the development and research of a software module for monitoring and managing the access of vehicles to the territory. Based on the analysis of literary sources, an algorithm for recognizing state license plates was de...
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Jacobo González-Cepeda, Álvaro Ramajo and José María Armingol
Security cameras have been proven to be particularly useful in preventing and combating crime through identification tasks. Here, two areas can be mainly distinguished: person and vehicle identification. Automatic license plate readers are the most widel...
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Xing Zeng, Xuefeng Guan, Huayi Wu and Heping Xiao
Static traffic assignment (STA) models have been widely utilized in the field of strategic transport planning. However, STA models cannot fully represent the dynamic road conditions and suffer from inaccurate assignment during traffic congestion. At the ...
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Muhammad Ali Raza, Chun Qi, Muhammad Rizwan Asif and Muhammad Armoghan Khan
We present an adaptive framework for the recognition of multinational vehicles license plates. To make it generalized, this research does not require any prior knowledge of license plate layout and, furthermore, training data is not used from all of the ...
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Qiuyu Zhu, Zikuang He, Tao Zhang and Wennan Cui
This work can be widely used in all kinds of pattern recognition systems based on deep learning, such as face recognition, license plate recognition, and speech recognition, etc.
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Hojin Yoo and Kyungkoo Jun
The orientation of plate images in license plate recognition is one of the factors that influence its accuracy. In particular, tilted plate images are harder to detect and recognize characters with than aligned ones. To this end, the rectification of pla...
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
Recently, demand for handwriting recognition, such as automation of mail sorting, license plate recognition, and electronic memo pads, has exponentially increased in various industrial fields. In addition, in the image recognition field, methods using ar...
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Syed Tahir Hussain Rizvi, Denis Patti, Tomas Björklund, Gianpiero Cabodi and Gianluca Francini
The realization of a deep neural architecture on a mobile platform is challenging, but can open up a number of possibilities for visual analysis applications. A neural network can be realized on a mobile platform by exploiting the computational power of ...
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