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.
翻译:在使称重桥服务自动化时,对牌照的检测和承认很重要。虽然有许多大型数据库可供拉丁和中国字母数字牌照使用,但印度牌照数据并不充分,特别是印度商用卡车牌照数据库不够充分,尽管商业车辆牌照的识别在物流管理和称重桥自动化方面起着深刻的作用。此外,承认牌照的模型由于具有挑战性,而且手写牌照的频率很高,导致使用多种字体样式,因此,一个数据库和识别和检测此类牌照的有效模型至关重要。本文提供了商业卡车牌照的数据库,并使用了实时物体探测的最先进的模型:你只看第七版和Scenetext识别:不规则的自动反向序列模型,我们的方法实际上无法概括这些数据,因为其具有挑战性,而且由于手写牌照的频率太高,因此导致使用多种字体样式。因此,在所展示的具有挑战性的牌照数据集中,我们在算法的实施中达到了95.82%的准确度。本文提供了商业卡车牌照牌照牌照牌照数据库,并使用了最新模型,在实时物体探测中采用了最先进的模型:你只看一次,只看7和Scen Reglegleget Plaget 识别,我们使用的车牌照牌照识别。