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- W1824100020 abstract "Most vehicle license plate recognition use neural network techniques to enhance its computing capability. The image of the vehicle license plate is captured and processed to produce a textual output for further processing. This paper reviews image processing and neural network techniques applied at different stages which are preprocessing, filtering, feature extraction, segmentation and recognition in such way to remove the noise of the image, to enhance the image quality and to expedite the computing process by converting the characters in the image into respective text. An exemplar experiment has been done in MATLAB to show the basic process of the image processing especially for license plate in Malaysia case study. An algorithm is adapted into the solution for parking management system. The solution then is implemented as proof of concept to the algorithm." @default.
- W1824100020 created "2016-06-24" @default.
- W1824100020 creator A5000210853 @default.
- W1824100020 creator A5014235575 @default.
- W1824100020 creator A5024096285 @default.
- W1824100020 creator A5044441934 @default.
- W1824100020 creator A5063522887 @default.
- W1824100020 creator A5051919493 @default.
- W1824100020 date "2014-01-22" @default.
- W1824100020 modified "2023-09-27" @default.
- W1824100020 title "License Plate Recognition (LPR): A Review with Experiments for Malaysia Case Study" @default.
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