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Automatic number plate detection and un-manned challan generation for the odd/even rules in delhi

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dc.contributor.author Arora, A.
dc.contributor.author Saluja, S.
dc.contributor.author Parmar, N.
dc.contributor.author Goyal, D.
dc.contributor.author Senthil, V.
dc.date.accessioned 2021-07-03T10:02:44Z
dc.date.available 2021-07-03T10:02:44Z
dc.date.issued 2021-07-03
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/1966
dc.description.abstract This article addresses automatic license plate recognizer as a key element of today’s fast trending approaches used for smart city development. The deployment of heavy manual forces is the biggest challenge in the path of efficient execution of transportation rules in metro cities. In order to help the government in achieving this milestone, a thorough research helped in developing a product which could very effectively and efficiently be used in the implementation of odd/even transport rule coined by the NCT Government, Delhi. Automatic license plate recognition has become the latest trend in the management of contemporary urban and national street arrangements, and this latest trend has been blended with programming in python to enable a handy product for the government to easily enable them to distinguish between the faulty and genuine vehicles without much need of manual forces. This article throws light on the techniques used for making this product and the literature survey done on the previously existing techniques. en_US
dc.language.iso en_US en_US
dc.subject Automatic license plate recognition (ALPR) en_US
dc.subject Optical character recognition (OCR) en_US
dc.subject Odd/even transport rule en_US
dc.subject Character recognition en_US
dc.subject Image acquisition and processing en_US
dc.title Automatic number plate detection and un-manned challan generation for the odd/even rules in delhi en_US
dc.type Article en_US


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