Survey of Feature Extraction Techniques for 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.Number plate detection is the most important step of vehicle identification. The result of vehicle identification depends on number plate detection. 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 and Hough Transform. The system will check the performance of these algorithms for number plate detection.