论文信息 - Neural Network Recognition System Tuned by GA and Design of Its Hardware by DSP

Neural Network Recognition System Tuned by GA and Design of Its Hardware by DSP

Abstract We have proposed paper currency recognition system by a neural network (NN) to develop new types of the paper currency recognition machines. This system is constructed by some core techniques. One is the small scale neuro-recognition technique using masks. The one is the mask optimization technique using a genetic algorithm (GA). The last is the neurohardware technique using a digital signal processor (DSP). In this paper, in order to determine the excellent masks which can generate the characteristic values of the input image effectively, we adopt the GA to the mask optimization and tune the neurorecognition system. We show the effectiveness of this technique using the Italy currency. Still more, we design some high speed neuro-recognition machines. Its recognition speed is ten times faster than current currency recognition machines. Finally, the feasibility and effectiveness of the neuro-recognition system is shown by using world wide currency.

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