1. A method for enhancing performance of an automated license plate recognition, said method comprising: capturing a plurality of images with respect to at least one vehicle passing through an observation zone and processing each image among said plurality of images utilizing an automatic license plate recognition unit to obtain a plate code result and a confidence value; iteratively processing character level information across an optical character recognition code followed by a higher level error checking operation based on a learned context information; and optimally aligning said optical character recognition code with respect to said plurality of images despite a noise factor utilizing a string correlation approach to thereafter leverage an optical character recognition confidence and state mask information with respect to said plate code result and said confidence value to select a character for said output plate code while taking into account an error source so as to yield more accurate results thereof.