(PDF) Machine Learning based Number Plate Detection and Recognition Awais Rajput Academia.edu
Corpus ID: 16403083; Automatic Vehicle Number Plate Recognition Using Morphological Edge Detection and Segmentation @inproceedings{Rajput2015AutomaticVN, title={Automatic Vehicle Number Plate Recognition Using Morphological Edge Detection and Segmentation}, author={Teena Singh Rajput and Lala Lajpat}, year={2015} }
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The Delhi Transport Infrastructure Development Corporation has floated a tender for the supply, installation, commissioning and operation of automatic number plate recognition (ANPR) detection system that employs AI to spot contraventions of the law.
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With the increase of number of vehicles on the road, safety and security have been major concerns of any country. To monitor the vehicles manually based on the installed CCTV, it is most challenging and time-consuming [1, 2].Also, because of low illumination light, vehicle speed, nonuniform number plates, and variations in fonts in Indian number plates, it is difficult to recognize the number.
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AI to use numberplate, detect 19 different violations on road From Pollution Certificate To Speed Breaches, ANPR System Can Track Them All. A Abhinav Rajput TNN Updated On Jan 10, 2024 at 07:31 AM IST
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Hitesh Rajput and Tanmoy Som, Indian Institute of Technology. "An Automatic Method of Location for Number-Plate Using Color Feature," Proc. IEEE Int'l Conf. Image Processing (ICIP 01.
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Automatic Number Plate Detection and Recognition (ANPDR) has become of significant interest with the substantial increase in the number of vehicles all over the world.. Rajput, M. and Memon, A. Machine Learning based Number Plate Detection and Recognition. DOI: 10.5220/0005750203270333 In Proceedings of the 5th International Conference on.
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This work tested the method for number plate recognition which includes five main testimonials first is pre-processing of the input image, then cropping the pre- processed image, followed by the character segmentation process algorithm and then finally to the character recognition which gives the improved results. The vehicle number plate recognition automatically controls access to a secured.
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A system for automatic recognition that has three phases: image capture, plate localization, and license plate number recognition is proposed. License plate recognition is a computer vision method that identifies vehicles from their license plates. The most crucial step of such a system is accurate localization of the plate. The authors propose a system for automatic recognition that has three.
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Automatic Number Plate Recognition (ANPR) has become an important aspect in our daily life because of unlimited increase of vehicles and transportation system. This makes it more and more difficult to fully manage and monitor by humans.. Rajput H, Som T, Kar S (2015) An automated vehicle license plate recognition system. Computer 48(8):56-61.
