Patent ID: 7146037

Claim:
A handwritten numeral classifier using fuzzy logic and cellular neural network, comprising: an extraction unit using cellular neural network for receiving a scanned image having a plurality of input features, wherein the extraction unit is constructed of 24 cascaded cells to form the 24×24 pixels feature extractor comprising of a plurality of cell circuits, wherein each cell circuit comprise of 4 cascade currant mirrors connected to the output of the cell circuit, the extraction unit having 4 transmission gates controlling the input of the extraction unit, wherein the input signal of the extraction unit is connected to the input of the transmission gates through a transistor, and compressing the received data of the scanned image to generate a plurality of feature values; a membership function generator using fuzzy logic for storing a plurality of membership functions and receiving the feature values to generate a plurality of synthesis membership function degrees for the plurality of input features; a k-WTA circuit for receiving the plurality of synthesis membership function degrees from the membership function generator and outputting the synthesis membership degrees in order of magnitude; an I/O circuit for inputting programming codes to the membership function generator through off-chip memory units and receiving the synthesis membership degrees from the k-WTA circuit to output a final recognizing result of the scanned image; and a clock generator and logic controller for generating clock cycle and control logic signals for controlling timing of and logic for operations of the extraction unit, membership function generator, and the k-WTA circuit.