18. A non-transitory processor-readable medium storing code representing instructions to cause a processor to perform a process to recognize a license plate character, said code comprising code to: capture 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-process 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 identify 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.
18. A non-transitory processor-readable medium storing code representing instructions to cause a processor to perform a process to recognize a license plate character, said code comprising code to: capture 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-process 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 identify 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. 20. The non-transitory processor-readable medium of claim 18 wherein said set of machine learning classifiers comprises a set of split up sparse network of machine learning image classifiers.