The Train-plate Recognition System On The Railway Weighing-machine

Pattern recognition is an important research field in computer intelligence, with its extensive application in medicine, engineering, traffic, astronomy, military area and so on.This thesis takes as the application background the train-plate recognition system on the railway weighing-machine, comparatively explains the tasks and problems and does analytic research across all the phases of the system, and then puts forth an new algorithm namely multi-granular covering algorithm for character recognition based on the constructive covering algorithm and the quotient space granular computation theory, furthermore generally completes the design and implementation of the system. The primary work of the thesis is listed below:1. Considering the characteristics of train plate treated with, we adopt gray-extending and other operations to eliminate the pixels that disturb the targeted area based on the histogram analysis of a large number of train-plate gray bitmaps, and carry out pre-processing successfully for original train-plate bitmaps, and thus increase the correct ratio of plate locating operation;2. In the locating phase of the system, through analyzing the valleys of the smoothed horizontal gray texture projection, we perform minor-adjusting to the bottom and top position determined by the rough locating operation; in the phase of character segmentation, we improve the operation by analyzing the valleys of the smoothed projection of the targeted pixels from left to right and by using the width, height and other basic imformation of the processed plate character; in the denoising and inclination-adjusting phase of the system, we obtain good results by using the connected region labelling method;3. Taking the structure of classifier itself into consideration, we puts...