指纹识别算法实现 毕业论文.doc

摘 要 生物识别技术已经成为身份识别和网络安全的发展技术之一，其中指纹识别是公认的的身份技术，是人们研究的热点。从指纹图像的预处理、特征提取特征匹配三个环节进行了详细研究预处理阶段本文基于灰度的算法对图像进行了分割，同时，针对二值化后图像中仍然存在的噪声，也进行了相应的修饰处理尽可能的为以后指纹特征的提取打好基础。指纹特征提取阶段采用法提取指纹中所有的端点和分叉点，并进行了的处理。特征匹配阶段采用基于细节点的方式进行特征点的匹配。 ABSTRACT Biometric technology has become one of the developing technologies for identity recognition and network security. And fingerprint identification technology is now recognized as one of the most safe, accurate and convenient authentication technologies, and it is a focus for researchers. This paper mainly research the basic principles of digital image of the fingerprint identification system and do more in-depth analysis on process, and finally achieved the algorithm of digital fingerprint precessing. First, this paper explains the classification of fingerprints digital images, basic characteristics and identify the principle in detail. Secondly, in the digital fingerprint image pre-processing part of this paper, three essential aspects of fingerprint : ?fingerprint image?preprocessing, feature?extraction and feature matching are discussed and researched in detail in this paper. Fingerprint image pre-processing stage, This paper presents a gray-based algorithm for image segmentation, at the same time, the noise still exists for the image after binarization, also carried out the appropriate modification of treatment, as much as possible lay a solid foundation for the fingerprint feature extraction . Fingerprint feature extraction stage, the use of all of the endpoints and the bifurcation point in the fingerprint template extraction and refinement processing. Feature matching stage, minutiae-based approach for matching feature points. In this paper, a fingerprint verification system was designed and implement a digital image of a fingerprint recognition system, completed fingerprint digital image processing, feature extraction, save and matching features, the use of coding fingerprint digital image storage, matching and other operations