PURPOSE: To provide a neural network architecture for optical character recognition which enables a target character to be rotated on an image screen. CONSTITUTION: A neural network includes a hidden unit 12 which has input for receiving image information from a part of a rotationally distributed image. Namely, the partial link between an input unit and the hidden unit is used to rotate the image of the character Therefore, the character faces in a regular or nearly regular direction to one of hidden units 12 irrelevantly to the direction of the image. The hidden unit 12 has corresponding input having a corresponding weighting coefficient, namely, symmetrical weighting is assigned. Therefore, one of the hidden units 12 generates a high output value representing the character which faces in the regular direction irrelevantly to the direction of the image.
NEUROCYTE NETWORK ARCHITECTURE OPTICAL CHARACTER RECOGNITION METHOD AND EQUIPMENT FOR OPTICAL CHARACTER RECOGNITION