On the Study of Image Characters Location, Segmentation and Pattern Recognition using LS-SVM

Based on pattern recognition theory and Support Vector Machine(SVM) network technology, automatic detection, location, segmentation and recognition of license plates characters are discussed in detail. A new method is presented to adopt gray-grads, shape and posture, vision model and so on. And a new multi-sorts classification method—binary exponent classification is proposed. By comparing Least Squares Support Vector Machines (LS-SVM) with BP neural network in vehicle license plates pattern recognition and classification, Experimental results showed that SVM is more convenient, fast and nicely of judgment, and will be the mainstream of the future development in the application of finite sample data pattern recognition.