| 摘要 |
PURPOSE:To extract features necessary for the rough classification and discrimination of an input original character pattern stably and efficiently, by providing a pattern buffer memory, feature extracting circuits, registers, rough classification dictionary, and collation arithmetic circuit. CONSTITUTION:The original input character pattern inputted through a photoelectric conversion part and quantized into a binary signal is stored in a pattern buffer memory 1 temporarily. Pieces of information read out of the pattern buffer memory 1 by making a longitudinal scan are inputted to an LU and LD extracting circuit 2, PU and PD extracting circuit 3, and CU and CD extracting circuit 4 respectively to extract pieces of information. Pieces of information read out of the memory 1 by making a lateral scan are inputted to an LL and LR extracting circuit 5, PL and PR extracting circuit 6, and CL and CR extracting circuit 7 to extract pieces of information. The pieces of information obtained by the circuits 2-7 are set in registers 8-10 and classified roughly. The collation arithmetic circuit 11 compares said pieces of information with pieces of dictionary information registered in the rough classification dictionary 12 to decide on a category which satisfies coincidence condition within a specific range. |
