A 2-DIMENSIONAL SEGMENTATION-FREE LEARNING RECOGNITION SYSTEM BY A CELLULAR AUTOMATON ARRAY USING EIGENVECTORS OF THE 2ND MOMENT MATRIX

In this paper, a segmentation-free learning recognition system for two-dimensional and time-serial binary signals is proposed. This system is constructed by using an array of cells, known as the max-product automata, and can recognize time-serial signals segmentation-freely. Learning is carried out by the learning with the second moment matrix of input vectors. Decisions of this system are made by the majority of categories. Experiments by the computer simulation have given good results.