This paper presents a method for vehicle number plate detection which combines edge and colour features of number plates. We concentrate on two key issues of this application: speed and robustness. Our focus is put on detecting parts of a number plate, instead of the number plate itself as a whole. To achieve the target of real-time detection, two simple features based on a redefined vertical edge map are constructed. To address the illumination-sensitive problem of using colour information, a Gaussian weighted histogram intersection (GWHI) method is proposed. The above new ideas compose the major part of the algorithm. Our experimental results demonstrate a promising preliminary result on detecting yellow number plates in terms of detectio...
Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in v...
The first step in the process of detection a license plate is to determine the location of the plate...
This paper proposes a refined Gaussian weighted histogram intersection for content-based image match...
Detection of vehicle number plate is very interesting and also challenging topic for research. Sinc...
Surveillance is important in most of the applications. Vehicle number plate detection is the major p...
Abstract — This is a method used for car license plate detection. Firstly the Adaptive thresholding ...
In last couple of decades, the number of vehicles has increased drastically. With this increase, it ...
An Automatic Vehicle Number Plate Recognition System (AVNPR) is a key research area in image process...
Various researchers presented various solutions for license plate detection but real-time performanc...
This paper proposes an algorithm for real-time license plate detection. In this algorithm, the relat...
Abstract — A moving/parked car embeds mainly speed and momentum, and is surrounded by its environmen...
In this paper, we present a method to automatically detect a vehiclersquos number by usingnbsp pre-p...
Research Article published by International Journal Of Engineering And Computer Science Volume 3 Iss...
Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in v...
License plate detection and recognition is the one of the major aspects of applying the image proces...
Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in v...
The first step in the process of detection a license plate is to determine the location of the plate...
This paper proposes a refined Gaussian weighted histogram intersection for content-based image match...
Detection of vehicle number plate is very interesting and also challenging topic for research. Sinc...
Surveillance is important in most of the applications. Vehicle number plate detection is the major p...
Abstract — This is a method used for car license plate detection. Firstly the Adaptive thresholding ...
In last couple of decades, the number of vehicles has increased drastically. With this increase, it ...
An Automatic Vehicle Number Plate Recognition System (AVNPR) is a key research area in image process...
Various researchers presented various solutions for license plate detection but real-time performanc...
This paper proposes an algorithm for real-time license plate detection. In this algorithm, the relat...
Abstract — A moving/parked car embeds mainly speed and momentum, and is surrounded by its environmen...
In this paper, we present a method to automatically detect a vehiclersquos number by usingnbsp pre-p...
Research Article published by International Journal Of Engineering And Computer Science Volume 3 Iss...
Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in v...
License plate detection and recognition is the one of the major aspects of applying the image proces...
Vehicle plate number is a unique combination of characters and numbers. Hence, it has been used in v...
The first step in the process of detection a license plate is to determine the location of the plate...
This paper proposes a refined Gaussian weighted histogram intersection for content-based image match...