1. A method for automating an image rejection process, said method comprising: extracting features from at least one image among a batch of images to train a classifier, said features comprising texture, spatial structure, and image quality characteristics; calculating said features with respect to a test image for submission of said features to said classifier, given an operating point corresponding to a desired false positive rate; generating at least one output from said classifier as a confidence value corresponding to a likelihood of at least one of the following: a license plate being absent in said image, said license plate being unreadable, or said license plate being obstructed; and comparing said confidence value against a threshold to determine if said at least one image should be removed from a human review pipeline, thereby reducing images requiring human review.