Application of Synergetic Neural Network in Online Writeprint Identification

Abstract Synergetic neural network (SNN) associates synergetics with artificial neural network, it can rigorously deal with the behavior of network in the mathematical theory, and have the advantage of fast learning, short pattern recalling time and so on. In this paper, a pattern recognition method based on the self-adaptive attention parameters presented on the basis of analyzing the key technology of SNN, and the advanced algorithm will be employed in the online writeprint identification, the key point of this algorithm is that it can correct initial mis-identified patterns through measuring similarity between the prototype pattern and the testing pattern in the evolution of order parameters. Experimental results show that the advanced SNN has better performance and robustness than the SNN based on balanced attention parameters. Further, the network’s self-learning ability and recognition performance is greatly improved by using advanced SNN.

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