Character Recognition of Nepali Number Plate

Satyasa Khadka; Sandhya Baral; Sudip Tiwari; Sharad Kumar Ghimire

Character Recognition of Nepali Number Plate

Computer Vision and Pattern Recognition 2026-06-27 v1

Authors: Satyasa Khadka , Sandhya Baral , Sudip Tiwari , Sharad Kumar Ghimire

Abstract

This paper presents a robust Automatic Number Plate Recognition (ANPR) system tailored for Nepali license plates written in Devanagari script. In this paper, a pipelined model was used that integrates YOLO-based models for license plate and character detection, followed by a CNN classifier trained on 34 Devanagari characters. Two publicly available data sets were used that incorporate diverse lighting, fonts, and structural variations. Data augmentation and additional training on embossed plates enhanced the generalizability of the model. The system achieved a recognition accuracy of up to 93\%, demonstrating strong performance under real-world conditions and providing a scalable solution for traffic management in Nepal. Code: https://github.com/Satyasakhadka/Nepali-NumberPlate-Character-Recognition

Keywords

Automatic Number Plate Recognition Devanagari script YOLO CNN classifier character recognition data augmentation

Cite

@article{arxiv.2606.28946,
  title  = {Character Recognition of Nepali Number Plate},
  author = {Satyasa Khadka and Sandhya Baral and Sudip Tiwari and Sharad Kumar Ghimire},
  journal= {arXiv preprint arXiv:2606.28946},
  year   = {2026}
}

Comments

Accepted at World Conference on Information Systems for Business Management (ISBM) 2025