Analysis of Feature Extraction Techniques for Vehicle Number Plate Detection

Vehicle identification plays important role in Intelligent Transportation System. Vehicle is identified uniquely by its number plate. It is used for applications like identification of authorized vehicles, providing controlled access to restricted areas, and law enforcement. In the proposed system the license number of the car is checked against the database of authorized users and only authorized vehicles will be allowed to enter the restricted area. Feature extraction is the important step in pattern recognition. The performance of the system depends upon feature extraction technique. It is necessary to select and extract relevant features for improving the performance of the whole system. The proposed system will use feature extraction technique using Histogram of Oriented Gradient. The result of vehicle identification depends on number plate detection. This paper focuses on number plate detection using different algorithms.