Research of Automatic Recognition of Bank Note''''s Photo-induced Discoloration Printed Ink Based on DSP
基于DSP的纸币光变油墨自动识别的研究

The color of the figures printed with photo-induced discoloration ink has a special change when the light irradiates a bank note from different angles. This is an important method to identify if a bank note is faked or not. In this paper, an automatic recognition method focusing on photo-induced discoloration printed ink technique is proposed to recognize the fakeness of bank notes. The bank note automatic recognition system mainly consists of DSP, FPGA and color CCD camera. The system pre-handles video data stream by FPGA, sequentially switches among different memory areas and completes the real-time collection and storage of bank note image data. According to the characteristics of the image data, based on the concept of SOPC, FPGA integrates Nios soft core and implements parallel processing. Then DSP completes the recognition process of a bank note. The feasibility and effectiveness of the proposed automatic recognition method is verified by various experiments.