License plate detection from images is an important step in vehicle license plate recognition for automated transport system. Dark images and complex background make license plate detection problems challenging. In this paper, a novel method of based on rectangle window was proposed to resolve license plate detection problems. The proposed method firstly enhances images using traditional method...

Automatic license plate identification has many application in traffic system like electronic toll collection, custom check points. License plate recognition basically has three steps: license plate detection, segmentation of character and plate character recognition. In the first step of number plate identification system we use vertical projection method and edge detection method for number p...

Detection of vehicle license plate is vital for identifying the vehicle because the license plate has unique information for each vehicle. However, in India, vehicle license plate standards, though they exist, are rarely practiced. Large amount of variations are seen in the parameters of license plate like size of number plate, its location, background and foreground color, etc. which makes the...

To study the characteristics of license plate characters recognition, this paper proposes a method for feature extraction of license plate characters based on two-dimensional wavelet packet. We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis. This paper presents a criterion of searching for the optimal wavelet packet b...

The automatic vehicle license plate recognition (VLPR) is an important key technology in intelligent transportation system. License plate character recognition is a main step in this system. This paper presents an improved algorithm to accelerate the running speed of the network based on the analysis of traditional BP algorithm’s running speed. Looking from the test effect, its recognition effe...

A vehicle license plate recognition system extracts plate information from a digital image through image processing technology. License plate extraction (LPE) is the premise and key concept of license plate recognition systems. In China, two-row license plates are yellow and dirty. Thus, a novel license plate extraction method based on CIELab color space is proposed in this paper. The method in...

Vehicle License Plate Recognition is a vital component in Intelligent Transportation Systems. In this paper, VLPR system is proposed. Considering that License Plate Recognition is the most important and difficult part in VLPR systems, we present an effective license plate recognition method based on K Mean and Neural Networks. This Paper focuses mainly on two parts first is recognition and seco...

Automatic license plate recognition system is an image processing technology used to identify vehicles by their license plates. Such systems require the recognition of characters from the plate image. Artificial neural networks are commonly used to perform character recognition due to their high noise tolerance. Feed-Forward Neural Network (FFNN) can be used to recognize the characters from ima...

Recognition of vehicle license plates is an important task that can be applied for a myriad of real scenarios. Most approaches in the literature first detect an on-track vehicle, locate the license plate, perform a segmentation of its characters and then recognize them using an Optical Character Recognition (OCR) approach. However, these approaches focus on performing these tasks using only a s...