Devanagari License Plate Detection, Classification and Recognition
- DOI
- 10.2991/978-94-6463-196-8_24How to use a DOI?
- Keywords
- License Plate; Devanagari Characters; Convolution Neural Network; IWPOD-NET; nested Random Forest
- Abstract
This study presents a method for detecting, classifying, and recognizing Devanagari characters based vehicle’s License Plate (LP) in Nepalese context. The IWPOD-NET model is used in the detection phase to extract the LP from a vehicle region. After post-processing for contrast adjustment, the extracted LP is fed to a nested classifier for vehicle classification. To reduce the noise around the LP area, several image-processing techniques are used. Finally, the Devanagari LP characters are predicted/recognized using two distinct CNN models. We built a customized LP dataset and character dataset to verify our method. The proposed system has been tested for both stationary and moving vehicles. The robustness of the proposed system is assessed in terms of LP detection, LP classification and character recognition accuracy.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Pankaj Raj Dawadi AU - Bal Krishna Bal AU - Manish Pokharel PY - 2023 DA - 2023/08/10 TI - Devanagari License Plate Detection, Classification and Recognition BT - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) PB - Atlantis Press SP - 304 EP - 318 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-196-8_24 DO - 10.2991/978-94-6463-196-8_24 ID - Dawadi2023 ER -