A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automatic number-plate recognition: neural network approach
Automated number-plate recognition, using image processing techniques, is indicating new ways of capturing traffic data. Advances in computer vision technology and the falling prices of related devices encourage the use of video/closed circuit television cameras by making it practical to automatically identify vehicles visually on-line or off-line. An automatic vehicle identification system could be achieved using automated number-plate reading with high accuracy and low processing time. The objective of this research is to explore the potential of using the BAM neural network for number-plate reading. Image processing techniques are used to extract the location of each included character, and the BAM neural network is applied to the character recognition process.<>
Automatic number-plate recognition: neural network approach
Automated number-plate recognition, using image processing techniques, is indicating new ways of capturing traffic data. Advances in computer vision technology and the falling prices of related devices encourage the use of video/closed circuit television cameras by making it practical to automatically identify vehicles visually on-line or off-line. An automatic vehicle identification system could be achieved using automated number-plate reading with high accuracy and low processing time. The objective of this research is to explore the potential of using the BAM neural network for number-plate reading. Image processing techniques are used to extract the location of each included character, and the BAM neural network is applied to the character recognition process.<>
Automatic number-plate recognition: neural network approach
Fahmy, M.M.M. (author)
1994-01-01
204918 byte
Conference paper
Electronic Resource
English
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