License plate recognition (LPR) is an integral part of the current intelligent systems that are developed to locate and identify various objects. Unfortunately, LPR a challenging task due factors, such as numerous shapes designs LPs, non-following standard LP templates, irregular outlines, angle variations, occlusion. These factors drastically influence appearance significantly challenge detect...

Automatic vehicle license plate recognition system plays an important role in Intelligent Transportation System. Even though many license plate recognition methods have been proposed in the past, further scope for improvement still exists. This paper has proposed a new approach to license plate recognition system based Harris corner detection algorithm. In this paper connected component analysi...

In this paper, a widely developed learning machine algorithm called Extreme Learning Machine (ELM) is used to recognize Indonesia vehicle license plates. The includes grayscale, binary, erosion, dilation and convolution processes, as well the process of smearing, location determination character segmentation before ELM applied. one crucial rarely performed technique for extraction plates, namel...