License Plate Recognition System Using Video And Images

Che Arsad, Zurainey (2008) License Plate Recognition System Using Video And Images. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The purpose of this project was to build a real time application which recognizes license plates from cars at gate, for example at entrance of a parking area. The system, based on regular PC with video camera, catches video frames which include a visible car license plate and processes them. Once a license plate is detected, its digits are recognized, displayed on the User Interface or checked against database. The focus is on the design of algorithms used for extracting the license plate from a single image, isolating the characters of the plate and identifying the individual character. Image sample of vehicle’s license plate is acquisited by video camera, then, it is converted into Black and White (BW). Artificial Neural Network (ANN) is applied to recognize the character’s plate. Learning method of the ANN is back propagation and all process is handled by Matlab version R2006a 7.1.

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