Automatic Vehicle License Plate Recognition Using Optimal K-Means with Convolutional Neural Network for Intelligent Transportation Systems

In this work, detection of vehicle license plates and recognition of characters are performed using YOLO network. Due to recent developments of highways and the increased utilization of vehicles, significant interest has been paid on the latest, effective, and precise intelligent transportation system (ITS).

 The process of identifying particular objects in an image plays a crucial part in the fields of computer vision or digital image processing. Vehicle license plate recognition (VLPR) process is difficult because of variations in viewpoint, shape, color, multiple formats and non-uniform illumination conditions while acquiring images.

 This paper presents an effective deep learning based VLPR model using YOLO (You Only Live Once) for the detection process of license plate and OCR (Optical Character Recognition) for the process of character recognition in the license plate. For the enhancement of license plates, some Image Processing Techniques are utilized.

Keywords: Intelligent Transportation System (ITS), Vehicle License Plate Recognition (VLPR), YOLO (You Only Look Once), OCR (Optical Character Recognition), Image Processing Techniques.