Car license plate number recognition using median filtering, frequency domain filtering and morphological filtering

Mohamad Hafizul, Aisyah (2021) Car license plate number recognition using median filtering, frequency domain filtering and morphological filtering. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full Text) Car license plate number recognition using median filtering, frequency domain filtering and morphological filtering.pdf - Submitted Version Download (1MB)

Abstract

The project focused on the recognising the plate numbers image using MATLAB platform. The image will undergo few images processing for a better read on the image characters. The images used are in various kinds of condition. There are several techniques will be applied as a filtering technique such as median filter, frequency domain filter and morphological filtering. Image will then be converted into binary image, the value will be based on 1s and 0s or black and white only. Afterwards, the image will undergo edge-detection to detect the plate number’s characters location and then characters found will be segmented. Finally, the recognition step is done using template matching technique which the characters will be scanned using the template and the most matching pattern will be identified. The result of the plate number recognition will be based on how many characters are identified correctly in the image after character recognition. The best filtering technique between median filtering, frequency domain filtering and morphological filtering will be chosen.

Actions (login required)

View Item