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指纹 图像 增强 匹配 技术研究 毕业设计 论文

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指纹图像增强与匹配技术研究毕业设计论文,指纹,图像,增强,匹配,技术研究,毕业设计,论文

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潍坊学院本科毕业论文摘要 指纹识别技术自19世纪进入科学研究领域以来，己发展成为.项较为成熟、应用广泛的生物识别技术。与此同时，指纹识别技术仍然面临挑战。.方面，在实际应用中，仍存在大约10%的低质量指纹严重地影响了现有自动指纹识别系统的识别准确率。另.方面，随着各应用领域对安全性、可靠性和准确性要求的提高，也迫切需求指纹识别技术的进步和完善。因此，从指纹识别技术的长远发展和应用来看，对低质量指纹图像的研究具有重大的意义。 自动指纹识别系统主要由指纹预处理、细节点提取和细节点匹配三个模块构成。本文围绕指纹预处理模块中较为关键的增强算法，以及细节点匹配模块进行深入研究。主要工作与成果包括如下两个部分: 1、深入研究了目前具有代表性的指纹增强算法对本文算法进行仿真，并运用于FVC2004的低质量指纹库，可以改善图像的质量，并使得指纹的识别准确率有了较大的改善。本文算法将原算法的平均错误率由12.5%降低至 11.5%，降低了8%。 2、深入研究了目前具有代表性的基于细节点的指纹匹配算法的原理，并对这些算法进行了归纳和总结。关键词：指纹增强，指纹匹配，Gabor滤波，低质量指纹IIAbstractThe research on fingerprint recognition as a scientific project began in the 19centuey,and has matured as an important biometric recognition technology in many application areas .In the meantime, fingerprint recognition technology itself still faces big challenges .On the other hand ,in the practical situation ,there are about 10% low quality fingerprints which heavily affect the performance of the current automatic fingerprints recognition system .On the other hand , the growing requirements and raising standards in the future urge the fingerprint recognition system towards high performance of reliability and stability .1.Therefore ,with respect of the long term development and application of fingerprint recognition technology ,the research on low quality fingerprint recognition remains an important issue .The theories of several representative fingerprint enhancement algorithms has been deeply studied on , including the directional Fourier filter ,the Gabor filter ,enhancement algorithm for the singular area based on Poincare index ,etc.The algorithm has been simulated and applied in the FVC2004 low quality fingerprint database .The experimental result manifested an obvious reduction of equal error rate from 12.5% to 11.5%.2.The theories of several representative minutia-oriented fingerprint matching algorithms has been deeply studied on ,including the algorithms based on triangles ,the bozorth algorithm ,the k-plet algorit