Development and Implementation of a Custom License Plate Detection and Recognition System Using YOLOv10 and Tesseract OCR: A Comprehensive Study in Computer Vision and Optical Character Recognition Technologies
Priyankush Kaushik Baruah1, Pranabjyoti Haloi2
1Priyankush Kaushik Baruah, Department of Electrical Engineering, Jorhat Engineering College, Jorhat (Assam), India.
2Dr. Pranabjyoti Haloi, Associate Professor, Department of Electrical Engineering, Jorhat Engineering College, Jorhat (Assam), India.
Manuscript received on 25 March 2025 | First Revised Manuscript received on 30 March 2025 | Second Revised Manuscript received on 19 April 2025 | Manuscript Accepted on 15 May 2025 | Manuscript published on 30 May 2025 | PP: 20-26 | Volume-14 Issue-6, May 2025 | Retrieval Number: 100.1/ijitee.E108314050425 | DOI: 10.35940/ijitee.E1083.14060525
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study presents an automated license plate detection and recognition system, combining YOLOv10 for realtime object detection and Tesseract OCR for robust text extraction. The methodology involves training a customised YOLOv10 model on annotated vehicle datasets to localize license plates, followed by region-of-interest (ROI) filtering to enhance accuracy. Detected plates are processed with Tesseract OCR to convert visual data into machine-readable text. Evaluated using precision, recall, and inference speed metrics, the system achieves 97% detection accuracy and real-time performance, demonstrating reliability in automated vehicle identification tasks such as traffic monitoring. This work underscores the synergy of YOLOv10’s detection efficiency and Tesseract’s OCR capabilities, offering a scalable solution for intelligent transportation systems.
Keywords: License Plate Recognition (LPR), YOLOv10, Optical Character Recognition (OCR), Object Detection, Intelligent Transportation Systems (ITS), Real-Time Monitoring.
Scope of the Article: Computer Vision