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The Study of the Fingerprint Identification System on DSP

Author: ZhaoJuan
Tutor: WangDianHong
School: China University of Geosciences
Course: Communication and Information System
Keywords: DSP Fingerprint image Pretreatment Feature extraction Feature matching Fingerprint Identification System
CLC: TP391.41
Type: Master's thesis
Year: 2005
Downloads: 460
Quote: 5
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Abstract


The actual needs of today's digital information age, information security is increasingly associated with this biometric technology gradually by the people's attention. Fingerprint recognition biometric technology, with its unique advantage of the uniqueness and invariance become the most widely used authentication and recognition technology. It relates to the field of pattern recognition, image processing, digital signal processing, artificial intelligence and computer, is an integrated technology, has important theoretical significance and practical value. Most of the traditional fingerprint identification system is a PC-based platform, today's booming civilian market higher requirements on the Automated Fingerprint Identification System, the automated fingerprint identification technology is the direction of the miniaturization and embedded development. The combination of the above background, this paper summarizes the basic principles and key technologies of fingerprint identification system, details of the fingerprint image preprocessing, feature extraction and matching the various parts of the corresponding algorithm. Contrast to the current algorithm focuses on the performance characteristics and processing power of the DSP embedded system, combined with its own characteristics of the fingerprint image, the choice of a DSP hardware system more suitable for fingerprint recognition algorithm, and the refinement of the fingerprint image, deletion of the pseudo-feature points and feature matching is improved, simplified or innovation, so that the entire algorithm is not only better able to complete their work, and computing easier, but also effectively together, its DSP system the application of the foundation. The fingerprint recognition algorithm based practice, pointing out that the image preprocessing, feature extraction and matching certain process parameters and methods. Verify the feasibility of the algorithm running in the programming, we design a DSP as the core fingerprint identification system, and a detailed description of its peripheral circuit module. Master chip is TI's TMS320VC5410 chip that has a good performance and low cost with excellent performance and a large number of addition and multiplication operations, the fingerprint image processing algorithms is essential. TI for series processor development environment CCS provides developers with a rich debugging tools, and it supports the C language and assembly language programming, which helps this article recognition algorithm implemented in hardware. In addition, in order to meet the requirements of system resources and speed on the system's hardware architecture and memory resource management has a reasonable arrangement and design, both to give full play to the highest performance of each part of the system, but also take into account the cost factor. Tests show that results either from the running time processing, the entire system in real-time and reliability are achieved satisfactory results, basically meet the initial design requirements for this subject.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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