Research Of OMR And Vote Processing System Based On Image Recognition

With our country's economic information developing rapidly, the method of traditional vote counting can't meet the needs of the society. Difficult problem can be solved by vote processing system based on image recognition, which may be used not only the small-scale vote but also the large-scale vote of possessing thousands of candidates, and the voting result can been printed with high efficiency at the same time. The whole system's structure is very simple and inexpensive. A great deal of manpower and material sources will been saved by using the system. Then work efficiency will be improved greatly.The system is an integrative device composed of imaging collection, transmission mechanism, computer, networking subsystems. Differs from other vote processing system which is based on the optical mark recognition, the system adopt methods, algorithms of optical character recognition techniques to recognize the handwritten symbols on votes. That is, first, using CCD to input the vote info as a whole image, then using some algorithms to locate, segmentalize characters, then recognize all kinds of handwritten symbols such as "√,╳,○,●,╲,╱". As for the votes which have Other Candidates written in Chinese character, the system segmentalize the characters as small image and display on the computer screen, then the images been verified and input to database. The strategy can greatly reduce the demand of vote production, and improve efficiency of vote processing.This dissertation is divided into five parts altogether:In the first part, the background of the research and the using state of vote processing system through the world are discussed in the dissertation, then, introduced the architecture of the system.In the second part, designing and conformation of image collection system, mechanical and electronic devices been introduced, then, discussed the collection and transmission of image data.In the third part, several important image processing techniques of vote information recognition have been discussed, such as transforming of the color plate to gray plate, image binarization, skew correction, image smoothing, thinning, normalization, et. In...