• Pothuraju Vishesh
• Alok Kumar Pani

Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific information which limits their practical applicability. Such ALPR systems require changes in the algorithm to work on other countries’ LPs. Previous works on multinational LP recognition are tested on datasets from various countries that share the same LP layout. To address this issue, this study presents a deep ALPR system designed to be applicable to multinational LPs. The proposed approach consists of three main steps – LP detection, unified character recognition, and multinational LP layout detection. The system is mainly based on You Only Look Once(YOLO) networks. Particularly, tiny YOLOv3 was used for the first step whereas the second step uses YOLOv3-SPP – a version of YOLOv3 that consists of the spatial pyramid pooling (SPP) block. The localized LP is fed into YOLOv3-SPP for character recognition. The character recognition network returns the bounding boxes of the predicted characters and does not provide information about the sequence of the LP number. A LP number with an incorrect sequence is considered wrong. Thus, to extract the correct sequence, we propose a layout detection algorithm that can extract the correct sequence of LP numbers from multinational LPs. IndexTerms - License plate detection, license plate recognition, multinational license plate recognition.

License plate detection, license plate recognition, multinational license plate recognition.

"An Approach for Recognizing Multinational License Plate using Generalized Character Sequence Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c211-c218, May-2022, Available :http://www.jetir.org/papers/JETIR2205330.pdf

"An Approach for Recognizing Multinational License Plate using Generalized Character Sequence Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc211-c218, May-2022, Available at : http://www.jetir.org/papers/JETIR2205330.pdf