Realization Of System Of Writer Identification Based On Mixed Program

The handwriting identification is used to distinguish the figure of a person. The pressure of the person who do the job of handwriting identification can be lightened by using computers to accomplish the same thing as the development of computer. The handwriting identification also becomes a hotspot problem in the domain of computer vision methodology and pattern recognition.After analyzing the theory of multi-channel Gabor wavelet, the system of handwriting identification is made based on the structure of B/S in this thesis. The history of development and the application background of handwriting identification is discussed, and the state of handwriting identification is also surveyed. About the arithmetic, the method of preprocessing are introduced, and the process of feature character distilling based on the multi-channel Gabor wavelet is also presented. The system is realized by mixed program. The arithmetic is accomplished in Matlab, and then is changed to the groupware of VS.net; the groupware is used by .net and the transport of data between the two program; the classification of nearest neighbor is made in VS.net; the UI is accomplished by using ASP.net, and at the end the function of long-distance transport, using the module of feature character comparison, system management, user identification and information demanding are accomplished. The system realizes the sharing of the function of handwriting identification based on B/S.The ratio of correctness is 91%, the goal of the system is accomplished. The whole system is accomplished in MatlabR2006a and .net2005.