论文标题
印度商用卡车车牌检测和认可地库自动化
Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation
论文作者
论文摘要
自动化称量桥服务时，检测和识别车牌很重要。虽然许多大型数据库可用于拉丁语和中国字母数字牌照，但印度车牌的数据不足。特别是，尽管商用车车牌识别牌在物流管理和称量桥自动化方面发挥了重要作用，但印度商用卡车车牌的数据库不足。此外，识别车牌的模型由于其具有挑战性的性质而无法有效地推广到此类数据，并且由于手写的车牌的频率大量，导致使用了不同的字体样式。因此，识别和检测此类车牌的数据库和有效模型至关重要。本文提供了商业卡车车牌上的数据库，并在实时对象检测中使用最先进的模型：您只看一次版本7，而SceetEtext识别：置进的自动回归序列模型，我们的方法优于其他引用的参考，这些参考的最大准确性低于90％，而我们在我们的Algorth上实现了95.82％的牌照，以实现95.82％的牌照。索引项 - 自动车牌识别，角色识别，车牌检测，视觉变压器。
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 models in real-time object Detection: You Only Look Once Version 7, and SceneText Recognition: Permuted Autoregressive Sequence Models, our method outperforms the other cited references where the maximum accuracy obtained was less than 90%, while we have achieved 95.82% accuracy in our algorithm implementation on the presented challenging license plate dataset. Index Terms- Automatic License Plate Recognition, character recognition, license plate detection, vision transformer.
