SMT product character recognition based on Principal Component analysis

In this paper, we present an approach to recognizing characters in surface mount technology (SMT) product. Firstly, we capture the SMT characters image by a camera. Some feature information which can represent the SMT product character images is extracted. Secondly, by processing and analyzing the feature information, Principal Component analysis is used in characters recognition. Lastly, a SMT characters recognition system based on VC++ is developed. The experiment has shown that the system has some advantages in acquisition speed, readability and portability, and practical.