Car recognition using Gabor filter feature extraction

This paper describes a car recognition system using a camera as sensor to recognize a moving car. There are four main stages in this process: object detection, object segmentation, feature extraction using Gabor filters and Gabor jet matching to the car database. The experiment was conducted for various types of car with various illuminations (daylight and night). The result shows that Gabor filter responses give good feature representation. The system achieved an average recognition rate of 93.88%.