The Studying Of Logistics Information Pattern-Recognition Based On Digital Image Processing

With the rapid development of national economy and the emergence of the economic globalization, logistics storage system is in increasing demand. And its informationization and automatization play an important role in reducing enterprises'operation cost and improving enterprises' productivity. We know that logistics information automatic recognition technology is the prerequisite that automation system run reliably. It is the new and high technology that incorporates many different disciplines, such as optics, electricity, computer and so on. It is the foundation that gathers and inputs data automatically. It is the important technological guarantee of computer real-time work. Now, it is playing more and more important role in modern logistics system. Therefore, the study of information recognition technology in logistics system is of great importance.Image processing and recognition are received much concern for a long time. Lots of research results are acquired in this field and have been applied in many aspects After analyzing the development of current image processing technology in the field of pattern recognition and the application of information recognition technology in logistic storage, the author puts forward a point that the image information of a target should be utilized for logistics pattern-recognitionAccording to the logic mode of humankind's cognition, the thesis consists of two main parts:The first part is about the appearance recognition. In this part, the author mainly introduces the theory of the image moment invariants and its current application, analyses the influence of scale factor on moment invariants features under the state of discrete and adopts a sort of modified algorithm to abstract the eigenvector of the objects' outline Finally, the author uses BP network to classify the mode. Since the moment invariants can signify the appearance feature, it can be used to detect the goods' damage status in practical application As far as the existing logistic recognition technology is concerned, this methodis very helpful.The second part deals with character recognition The method, principle and current research status of character recognition are discussed. In addition, combined with some commonly used methods, MATLAB-a mathematics analytical software-is used to realize the character recognition. Characters contain abundant information, so we can draw the character information on the package of goods to classify the objects.The application of recognition technology is closely related to practical conditions. Because the author is restricted by experimental condition and his own energy, the collection of data is restricted to some extent. And there is room for improvement of the research result before it is applied to practice. Finally, some suggestions and expectation for further study are put forwarded based on a summary of the research at earlier stage.