Development And Application Of Image Recognition Technology In Automated Logistics System

In automated logistics system, most of the information carriers are barcodes, Coding, RFID and so on. My senior does a lot of work to recognize the character over the dairy package[25].In the construction of glass fiber production automation logistics system,characters and two-dimensional code appear on the same data carrier, and and the character is hollow characters.In order to meet the actual needs for that two different identification information are on the same data carrier, and therefore, it is necessary to study and develop an automatic identification system to recognize the photograph which has both hollow character and two-dimensional code.This paper first to detail analysis the image preprocessing detailed, then study and research on the subject of pattern recognition and artificial neural network support vector machine technology in-depth. Finally, the experimental basis of analyzing and comparing two types of identification technology, the choice of multi-layer network Perceptron(MLP) recognition algorithms, system design and programming, and has been applied in practical engineering.