Study And Realization On Embedded Fingerprint Identification Control System

Along with the rapid development of science and technology, our society has entered into a new age based on information technology, and the standard of people's demand for security system is getting higher and higher. Traditional security system that based mainly on token or password cannot meet the demand of modern security system, which makes people research on new security system that is safer and more difficult to fabricate than the traditional security system, biometric recognition technique which use human body's physical characteristics to enhance the security of ID recognition appeared under this circumstances. Compared with other biometrics characteristics, fingerprint feature could be small in data volume, reliable, easily extracted and simply processed, which makes it become one of the best choices in biometric recognition technologies. Fingerprint recognition technology is widely used in forensic, police and other security systems. Recently, as the development of microcomputer technique and embedded system, automated fingerprint recognition technology has made a great progress.Automatic Fingerprint Identification System (AFIS), a technology of fingerprint identification based on high-powered MCU, is of convenience, high efficiency, security and reliability. At present, many aspects of the fingerprint identification system need to be studied because of the difficulty of developing it.This dissertation is about the design and implement of AFIS based on DSP processor. This article consists of five parts to introduce the control system which is designed with Samsung S3C2410 processor. The architecture of the Embedded Fingerprint Identification System was given in the first part. A fingerprint acquisition system which was designed with a new swiping fingerprint sensor AES2510 was introduced in the second part. In this part, the paper introduced the hardware design, software design, and an algorithm for reconstructing fingerprint images based on the characteristics of the images. The implement of the communication between the two processors using the host-port interface (HPI) in DSP was introduced in the third part. In this part, the hardware connection between DSP and S3C2410 was designed, and the HPI driver in the Linux system was programmed. The fourth part focused on the human-computer interaction module of the control system. Generally speaking, the module consists of keyboard and LCD display. Because the Sharp LQ035Q7DH01 LCD used in the system has a touch screen within, the system designed does not need a keyboard which contributes a lot to the users'convenience. The main elements of this part include the brief introduction of the LCD and touch screen, LCD controller and touch screen interface in S3C2410, the hardware design of the display module, the driver of LCD and touch screen, and the design of the interactive graphic interface. The last part introduced the integration and debugging of the system, such as the design of the application program, the algorithm for the fingerprint recognition, and a simple system debugging method.At the end of this paper, the problems occurred in this system was descripted, several approaches to overcome them were brought forward, and the direction of more research was pointed out.