Recognition of gray character using gabor filters

In this paper, a novel Gabor filter-based feature extraction method for low resolution gray character classification is proposed By applying Gabor filters to a character image, dominant orientation matrix is obtained and used to form feature vector for recognition. We compared our Gabor feature with other Gabor features. Experiments show that the proposed feature extraction method achieves high recognition accuracy and is also not sensitive to noise and other distortions. This method has been used in a Vehicle License Plate Character System.