Study On The Automatic Recognition For Character Engraved In Mechanical Workpiece

In industrial production, enterprises and manufacturers take mechanical processing ways to engrave letter directly to the product label or digital code as an important means of identification,in order to make better production management, quality control and tracking surveys for the products (such as engines, machinery and electronic products, etc.) . To avoid defects of manual detection and identification product number or digital code inefficient and error-prone, researching engraved digital automatic identification technology to enhance the level of automation of enterprises which has important practical significance and value.The object of this study is digital code engraved in the firearms, numeric characters with the same color as the background are solid characters. At present, a wide research of current text character recognition, postal code recognition and note identification are two-dimensional planar characters. For this feature ,a lot of existing research results of character recognition are difficult to be applied directly to machine engraved characters, which needs to study identification ways to adapt the object of the study .The researches of this thesis includes following parts:Introduce the parts of automatic identification systems of mechanism workpiece number. To improve the quality of the collected images, enhancing the overall performance of character recognition, the appropriate hardware is selected appropriately according to the system structure, hardware performance parameters and the inherent characteristics of the images. Experimental study found that: in the recognition process, the appropriate methods and a good light source lighting system is the key to success .Studying the different lighting ways affect on the quality of recorded images, successfully Fabricated the LED lighting system, which matches to the system needs.The Study of the workpiece character pretreatment methods. As unfavorable factors, for instance poor environment of the industrial site, uneven illumination, and the oil stain and scratches on the firearms, result in the quality of images degraded shot, fuzzy and noise pollution seriously. The problem of quality degradation caused the image difficult to separate later and the low rate of identification, combining the own image characteristics of mechanical device, analyzed the key image processing techniques, such as the gray balance, image enhancement and image segmentation and so on. Using the C language under the VisualC + + platform to realize algorithm, and analysed the advantages and disadvantages of different algorithms, proposed pretreatment method for character parts.On the basis of pretreatment method, studied the segmentation and extraction of the workpiece characters. With the dynamic threshold and global threshold of their respective advantages, and the characteristics of the workpiece image character, proposed the local dynamic threshold of LOG operator and the new algorithm based on Otsu's global threshold. The new algorithm has been applied to practical systems, and achieved good results. With an experimental platform system, do identification and verification experiments on a large number of firearms collected artifacts, tested and optimized software system, which improved system stability and efficiency.