Development of autonomic neural board and advancement to palm prints recognition

Previous work by the authors has proposed a banknote recognition system using a neural network (NN) to develop new types of banking machines such as banknote readers and sorters. The feasibility and effectiveness of our research in the commercial market has been shown clearly. We implement the neural learning algorithm to a neural board and extend its specification in order to realize intelligent machines, which can be tuned by itself in the market. Furthermore, we advance this neural recognition system to palm prints recognition. We construct an experimental system for palm prints recognition using the proposed neural board, image scanner and PC. Finally, we show the possibility of individual recognition using palm prints, experimentally