A Research Of Auto Brainpower Form Processing And Recognition

In this paper, a way about processing form based on artificial neural network, digital image processing, and features extraction theory having been designed. The way of auto form extraction and processing having been affirmed is a very valuable technique.The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of BP algorithm, extraction and reduction form line etc. Referring to shortcoming of traditional BP algorithm, a modified learning factor with adaptation is introduced. Because of every different font has robust, the way based chain coded and knaggy feature is used. A bizarre sample feature database is constructed for speeding up modified BP learning and classification. This algorithm is used by South Computer Company, the good result is gotten. The ideal is approved reasonable.