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All Journal International Journal of Community Service Learning Journal of Robotics, Automation, and Electronics Engineering
Ahmad Taufiq Musaddid
Universitas Negeri Yogyakarta
Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Journal : Journal of Robotics, Automation, and Electronics Engineering

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Adaptive Bounding Box Coordinate Adjustment on License Plate Character Detection Using Machine Learning Ahmad Taufiq Musaddid
Journal of Robotics, Automation, and Electronics Engineering Vol. 2 No. 1 (2024): March 2024
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v2i1.553

Abstract

Effective law enforcement, including the use of the ANPR (Automatic Number Plate Recognition) system, is essential for reducing the number of road traffic accidents. ANPR involves plate localization, character segmentation, and recognition to build a minimum system. This study aims to improve a character segmentation method using a detection approach to address issues like noisy or modified plates. We propose an adaptive improvement on an established sliding window technique, by integrating a CNN (Convolutional Neural Network) for bounding box coordinate adjustment to handle various plate conditions. The proposed method was tested on 280 license plate images and improved the average IoU (Intersection over Union) from 0.4811 to 0.8980. Hence, the recall and precision of the model could be improved to increase any character recognition performance.
Co-Authors Aris Nasuha Dessy Irmawati Moh Alif Hidayat Sofyan Purno Tri Aji