1. A method for localizing numbers and characters in captured images, said method comprising: training a machine learning classifier in an offline training phase; automatically preprocessing a side image of a vehicle digitally captured by at least one camera to determine at least one region of interest in said side image, said at least one region of interest among regions of interest, said preprocessing comprising computer vision including median filtering to remove salt and pepper noise from said side image; determining by said machine learning classifier a confidence of a series of windows within said regions of interest of said side image, said regions of interest comprising regions of interest of different sizes and aspect ratios, said regions of interest containing a structure of interest in said side image, said confidence comprising a measure of certainty and said structure of interest comprising text including numbers and/or an image of a physical structure of at least one object contained in said side image; identifying highest confidence candidate regions among said regions of interest that have said structure of interest and identifying at least one region adjacent to said highest confidence candidate regions; performing an optical character recognition in said at least one adjacent region; and returning an identifier from said at least one adjacent region in order to localize numbers and characters in said side image of said vehicle.