Study on automatic detection and recognition algorithms for vehicles and license plates using LS-SVM

Based on pattern recognition theory and least squares support vector machine(LS-SVM) technology, automatic detection, location, segmentation and recognition of vehicles and license plates characters are discussed. A new multi-sorts classification method-binary exponent classification is proposed. By comparing LS-SVM with BP neural network in vehicle and license plates pattern recognition and classification. Experimental results showed that SVM improve recognition rate and can avoid the problem of the local optimal solution of BP network, and therefore has more practicability.