Accelarated Optical Character Recognition onGraphics Processing Units

Optical character recognition (ocr) is a technique by the help of which the optical characters areidentified automatically by a computer. there are many methods for ocr, one of which is neural network that weuse. unfortunately, the long training and testing time of these networks is disturbing, but we healed this problem bymapping our network on graphics card by using jacket which is the product of accelereyes group. by so doing, weachieved the speedup of up to twelve factors. graphics processing units (gpus) have parallel structure containingmany cores capable of running thousands of threads in parallel. we train a multi-layer perceptron network usingback propagation rule which has a degree of parallelism that is suitable for implementation on new graphics card. weexamine the persian characters that are typed on the new system of farsi license plates to make a database ofcharacters uses in this system and apply them as train and test data for our network.