Vehicle Verification Using Log Gabor Filter Based On Video and Number Plate Recognition
نویسندگان
چکیده
Vehicle verification has very importance in this year because of its efficiency to avoid collision and less cost. Vehicle verification is difficult since the vehicle is similar in its color, shape and pose.log Gabor filter is used here as the algorithm to perform this task. Previously Gabor filter had been used. But since it has some drawbacks log Gabor filter introduced. Energy feature is choosing for feature extraction and three moments like mean, standard deviation and skewness is calculated. Gaussian function on the log axis is the design of the log Gabor filter. For vehicle and nonvehicle classification SVM is used. In number plate recognition Neural Network is used. For perform this, number and number plate training is required License Plate Recognition consists of three main phases namely, License Plate Detection/Extraction, Character Segmentation and Character Recognition
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