13. The system of claim 11 wherein said instructions are further configured for training each binary classifier utilizing a character sample as a positive class and other characters as well as non-character images as a negative class.
11. A system for recognizing a license plate character, said system comprising: a processor; and a computer-usable medium embodying computer code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for: capturing a license plate image with respect to a vehicle utilizing an image capturing unit and thereafter segmenting said license plate image into a license plate character image; pre-processing said license plate character image to remove a local background variation with respect to said license plate character image and to define a local feature thereof utilizing a quantization transformation; and identifying a classification margin for each character image utilizing a set of machine learning classifiers each binary in nature for said character image in order to thereafter determine a character type associated with at least one machine learning classifier among said set of machine learning classifiers with a largest classification margin to declare an optical character recognition result.