Feature-Based License Plated Detection and Character Segmentation

Authors

  • Humera Naz Department of Computer Science, University of Balochistan

Keywords:

Detection, License, Localization, Recognition, Segmentation

Abstract

In this paper, we propose a two-stage algorithm. In the first step we locate or detect the license plate in the image sequences. We used the visual based methods to detect the license plate. The visual method consists of computing image contours, later, we analyzed the contours to localize the license plate in the image sequences. After detecting the license plate, in the second step, we perform segmentation using character recognition model. Finally, we propose the license plate format checking model to verify the detected license plate is the correct license plate. For the tools, we used OpenCV (open computer vision library) and tesseract for the character recognition.

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Published

2023-04-14

How to Cite

Humera Naz. (2023). Feature-Based License Plated Detection and Character Segmentation. Pakistan’s Multidisciplinary Journal for Arts & Science, 2(01), 01 –. Retrieved from https://pmdjas.com/index.php/pmdjas/article/view/25

Issue

Section

Articles