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Study and Realization on Embedded Fingerprint Identification Control System

Author: LiuQingXia
Tutor: LiJianWei
School: Chongqing University
Course: Pattern Recognition and Intelligent Systems
Keywords: Fingerprint Identification System Fingerprint collection S3C2410 HPI Human-Computer Interaction
CLC: TP274
Type: Master's thesis
Year: 2008
Downloads: 233
Quote: 1
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Abstract


With the rapid development of science and technology, society has entered the information age, people have become increasingly demanding security system. Based the keepsake and password security system can no longer meet the needs of a modern security system, which requires people to study more safe and reliable, the security capabilities of the security system. Biometric technology is generated in such a context, it is by means of the physiological characteristics of the human body to improve the reliability of the identification. Compared with other biometric fingerprint feature has a small amount of data, the information is reliable, convenient collection, simple processing and other characteristics, and thus become one of the best biometric technology. Fingerprint recognition technology has been widely used in the administration of justice, public security, and a variety of security protection system. In recent years, with the development of computer technology and embedded system technology, automatic fingerprint identification technology developed rapidly. Embedded Automated Fingerprint Identification System (AFIS) is based on high-performance MCU to fingerprint identification technology, has the advantages of convenient, efficient, safe and reliable. Embedded fingerprint identification system developed itself more difficult, there are many aspects need further study. This paper studies the DSP processor based on the design and realization of the control system of fingerprint identification, control system uses a Samsung S3C2410 processor design. The thesis is divided into five main sections describes the control system of fingerprint identification. The first part introduces the overall design of embedded fingerprint identification system; second part introduces fingerprint acquisition module design, scratch fingerprint sensor AES2510 AuthenTec introduced to implement fingerprint collection, the module hardware design and realization of the acquisition program and given a simple fingerprint image stitching algorithm to complete the fingerprint image stitching; Part III describes the use of DSP HPI interface to achieve the communication between the two processors, designed The interface between the DSP and the S3C2410 hardware connection, and written under the Linux operating system, the HPI device driver program; fourth part introduces the control system design of human-machine interaction module. In general, human-computer interaction, including the keyboard and LCD display in two parts, this article uses the the Sharp LQ035Q7DH01 monitor, the monitor comes with a touch screen, so the system does not require keyboard input, and to facilitate the use of the user. This part of the main contents include: a brief introduction of the LCD and touch screen S3C2410 internal LCD controller and touch screen interface description, show preparation module hardware circuit design, LCD and touch screen driver, and human-computer interaction graphical interface design; some of the major system integration and debug, gives a brief introduction of the system application design, fingerprint recognition algorithm, and system debugging method. Last, gives a summary of the full text, deficiencies exist in the system, and pointed out that the improved methods and future research directions.

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