Ladle Of Automatic Identification Systems

Molten iron pot (MIP) is an important conveyance in the metallurgy of iron and steel, and for the steel enterprises, the automatic recognition of MIP number (MIPN) is the basis of the automation of production and enterprise management, so the automatic recognition system of molten iron pot number (ARSMIPN) can improve both the automatic level of the production of iron and steel and the enterprise management. In this thesis, current research status and application of ARSMIPN are introduced. And the key techniques including the MIP location, character region location, character segmentation and character recognition are expatiated. For the MIP location, firstly, the algorithm of improved image difference is applied to detect the contour of the MIP, then , a method based on vertical and horizontal projection is designed to calculate the position. The experimental results show this algorithm is efficient in locating the MIP but not sensitive to the unconstrained illumination conditions and irregular background. Character region location is vital in the ARSMIPN. According to the characteristics of the character region, the algorithm of line scan is employed. The algorithm has three major steps, which are image pre-processing, region search and region verification. Some experimental results of character region location are given. Character segmentation is to segment the character region into several images. Each one includes one character respectively. Combining and filtering regions and correcting the incline must be done before using the algorithm of projection-based segmentation. Character recognition belongs to classic pattern recognition. Some statistical and structural features are used to distinguish letters and BP neural network is used to distinguish digits. To improve the ration of recognition further, the analysis of the results is proposed. This ARSMIPN has been implemented in the steel-making plant of a large steel enterprise and taken a good effect.