| 摘要 |
The present invention relates to a character recognition method. Same comprises: step 1: reading in a character image; step 2: image preprocessing; step 3: character splitting; step 4: edge extraction; utilizing an edge detection operator to detect edge points of characters; step 5: feature extraction, where the features of each edge point of each character are all expressed with distances running from other edge points of the character to the edge point and are represented by eigenvectors ( P k , P k , ... P ); step 6: feature processing, mapping the eigenvectors ( P k , P k , ... P ) into a matrix, T, thus allowing all characters to be identical in eigenvector dimension; and, step 7: template matching recognition. Because the features of each edge point of the characters are all expressed with the distances running from the other edge points to the edge point, the entirety of the features are ensured for the characters, and the difference in features are expanded for different characters, thus increasing character recognition accuracy. |
