MIXED FEATURE EXTRACTING APPROACHES FOR LICENSE-PLATE RECOGNITION

This paper designs a classifier by increasing new features and using mixed features extracting approach. The results show that the new added features can improve the performances of the classifier obviously and make the rate of recognition higher than before. If the probabilistic structure of problem is completely known, the new features will not increase the Bayes risk.