| 摘要 |
<p>A method and apparatus for performing cursive script recognition is disclosed, wherein a cursive word, in the form of digitized data or bitmap, is simultaneously segmented and individual characters of the word are recognized using a scanning window that moves across a word field or segment. The bitmap data is preprocessed before being presented to a moving window letter center finding neural network that determines the spatial location of the centers of individual letters. Character center data generated by the center finding neural network is then used to define the left and right edges of a fixed size window. The fixed window contains width normalized word segments that are presented to a second neural network which is taught to recognize the central character of the window based on portions of adjacent characters contained within the window. A final character recognition decision is made using a third neural network that combines the results of second neural network at three positions, namely, when the character to be recognized was in a precharacter position, a central position and a post character position relative to the third neural network.</p> |
