1. A method for segmentation free license plate recognition, said method comprising: sweeping an OCR classifier across an image of a license plate; inferring characters and their locations with respect to said image of said license plate using probabilistic inference based on at least one Hidden Markov Model (HMM); combining a language model comprising a Naïve Bayes classifier using a MOSCount feature and a codeLength feature, with at least one license plate candidate from said at least one HMM to infer an optimal license plate code; and identifying a state of origin for said license olate according to said optimal license plate code.
1. A method for segmentation free license plate recognition, said method comprising: sweeping an OCR classifier across an image of a license plate; inferring characters and their locations with respect to said image of said license plate using probabilistic inference based on at least one Hidden Markov Model (HMM); combining a language model comprising a Naïve Bayes classifier using a MOSCount feature and a codeLength feature, with at least one license plate candidate from said at least one HMM to infer an optimal license plate code; and identifying a state of origin for said license olate according to said optimal license plate code. 4. The method of claim 1 further comprising performing a plate localization of said image of said license plate after capturing said image of said license plate.