An Intelligence Recognition Of Characters On Containers

Container is a kind of comprehensive and large-scale packing box. Containerized transportation is the main way to transport. It can obtain enormous economic benefit and social benefit to adopt containerized transportation. With the development of national economy and enlargement of world commerce, hardware facility and management level of container quay and distributing center of goods in our country can not meet the maximized and specialized request already. In order to strengthen the supervision and management of the container and realize the automation of management and in line with international standards, In the paper, we present an approach based on computer vision system to recognize the characters on containers. Considering the characteristic of the characters on containers, characters are distorted owing to the influence of natural and artificial factor, we take a profound research on the general problem of character extraction and recognition. Main work in the thesis is as follows:1. Carry on the pretreatment to the picture with container characters and draw the characters and extract from complex scene.2. According to the properties of characters, A method for normalizing theirsize and thickness of strokes is implemented firstly. Then extract featuresfrom characters as the input of neural network. 3. Design letter network and digital network to discern the letters and digitsrespectively and output the result of discerning.The system has been implemented on Win98 by the author independently , the experimental result shows this method has stronger anti-interference ability and the discerning rate can be more than 95 percent and discerning time is less than one second. It has prospect of practical application, ^...