Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation
Siddharth Agrawal, Keyur D. Joshi

TL;DR
This paper introduces a new dataset and an advanced detection and recognition system for Indian commercial truck license plates, achieving over 95% accuracy and addressing challenges like diverse fonts and handwritten plates.
Contribution
It provides a specialized database for Indian commercial truck license plates and combines state-of-the-art detection and recognition models to improve accuracy in challenging conditions.
Findings
Achieved 95.82% accuracy on the new dataset.
Outperformed existing methods with less than 90% accuracy.
Demonstrated effectiveness in real-time license plate recognition.
Abstract
Detection and recognition of a licence plate is important when automating weighbridge services. While many large databases are available for Latin and Chinese alphanumeric license plates, data for Indian License Plates is inadequate. In particular, databases of Indian commercial truck license plates are inadequate, despite the fact that commercial vehicle license plate recognition plays a profound role in terms of logistics management and weighbridge automation. Moreover, models to recognise license plates are not effectively able to generalise to such data due to its challenging nature, and due to the abundant frequency of handwritten license plates, leading to the usage of diverse font styles. Thus, a database and effective models to recognise and detect such license plates are crucial. This paper provides a database on commercial truck license plates, and using state-of-the-art…
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Taxonomy
TopicsVehicle License Plate Recognition · Advanced Neural Network Applications
