8. A system for license plate recognition, said system comprising: at least one processor; and a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for: generating a neural network having a plurality of convolutional filters and at least one fully connected layer and wherein said neural network ends in a plurality of independent classifiers, wherein although said classifiers among said plurality of independent classifiers are independent of one another, said classifiers are capable of being trained jointly together with remaining parameters of said neural network; training said neural network in a coarse-to-fine manner to perform generic text recognition utilizing a plurality of training samples; iteratively learning and adapting said neural network; and applying said neural network to a cropped image of a license plate in order to recognize text associated with said license plate and produce a license plate transcription with respect to said license plate.
8. A system for license plate recognition, said system comprising: at least one processor; and a computer-usable medium embodying computer program code, said computer-usable medium capable of communicating with said at least one processor, said computer program code comprising instructions executable by said at least one processor and configured for: generating a neural network having a plurality of convolutional filters and at least one fully connected layer and wherein said neural network ends in a plurality of independent classifiers, wherein although said classifiers among said plurality of independent classifiers are independent of one another, said classifiers are capable of being trained jointly together with remaining parameters of said neural network; training said neural network in a coarse-to-fine manner to perform generic text recognition utilizing a plurality of training samples; iteratively learning and adapting said neural network; and applying said neural network to a cropped image of a license plate in order to recognize text associated with said license plate and produce a license plate transcription with respect to said license plate. 9. The system of claim 8 wherein said neural network comprises a CNN (Convolutional Neural Network).