Study of VIN based on BP neural network recognition

Abstract

A new fuzzy recognition method of machine-printed VIN number based on neural network is presented. This method includes ten links: VIN number detection and separation of right on top of VIN, binarization, denoising, incline correction, extraction of VIN numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. Through testing, the recognition rate of this method can be over 95 %. The recognition time of characters for character is less than 1 s, which means that the method is of more effective recognition ability and can better satisfy the real system requirements. © 2013 Springer-Verlag.