针对指纹图像的分割算法研究

针对指纹图像的分割算法研究(论文12000字)
摘要：在全球经济的快速发展下，人类已进入了数字化社会，与此同时层出不穷的电子产品进入我们的生活。在这个追求高效率的社会里，拥有安全的信息环境下，高效的身份识别技术便被人们所需求。生物特征识别(BIOMETRICS)技术是根据每个人特征通过电脑来鉴定身份的技术。和以前传统鉴定身份方法（标示物品、标示知识）不同，由于其更好的辩别能力及真实性,各国广泛采用它，并应用于生活等各个方面。
指纹识别由于其可靠性、不变性、操作方便小型化等优点，是组成生物识别技术的重要部分，愈来愈多的人们开始使用这种技术。指纹图像分割在指纹图像识别系统的预处理过程中占据着重要地位，它的分割结果对后续处理十分重要，一个高效的分割算法可以提高整个系统的性能。
本文对基于块特征的指纹图像分割算法进行了探讨与实现。并与一种基于有效点聚集度特征的分割算法进行对比。实验证明，基于有效点聚集度特征的指纹图像分割算法，鲁棒性好，分割模块清晰且适应性强。
关键词: 生物识别技术；指纹图像分割；分割特征；有效点聚集度

Research and Implementation of Segmentation Algorithm for Fingerprint Image
Abstract：With the development of the global economy, human beings have entered a digital society. At the same time, the endless stream of electronic products has entered into our lives. In this pursuit of efficient society, with a secure information environment, efficient identification technology will be people's needs.Biometrics (BIOMETRICS) technology is based on the characteristics of each person through the computer to identify the identity of the technology.Unlike previously identified identity methods (labeled items, marked knowledge), this technology has a better ability to identify and authenticity,which is used by countries, research and application.
Because of its reliability, invariance, ease of operation and other advantages, more and more people began to use this technology. Fingerprint recognition has become one of the synonyms of biometric technology.Fingerprint image segmentation is an important part of the pre-processing process of fingerprint image recognition system. The subsequent processing of fingerprint image is directly linked with segmentation result. An effective segmentation algorithm can improve the performance of the whole system.
In this paper, the fingerprint image segmentation algorithm based on block feature is discussed and realized. And compared with a segmentation algorithm using the feature of the effective point aggregation. Experiments show that the fingerprint image segmentation algorithm based on the effective point aggregation feature is robust and the segmentation module is clear and adaptable.
Keywords:Biometrictechnology;fingerprintimagesegmentation;segmentationfeature;Effective Point Cluster Degree
 
目录
1 绪论    1
1.1 课题的研究背景和意义    1
1.2 生物特征识别技术概述    1
1.2.1 现今生物特征识别技术    1
1.2.2生物特征识别技术的发展    2
1.3 指纹识别技术概述    2
1.3.1 指纹识别技术的发展现状    2
1.3.2指纹识别技术的基本原理和过程    2
1.4 基于MATLAB的指纹图像分割    3
1.4.1MATLAB简介    3
1.5本文的研究内容及组织结构    4
2 指纹图像分割    5
2.1 图像分割    5
2.2 指纹图像分割目标    5
2.3指纹图像分割方法    6
2.3.1基于像素的分割方法    6
2.3.2基于块的分割方法    6
2.3.3基于全局特征的分割方法    7
2.4小结    7
3基于块特征的指纹图像分割算法    8
3.1经典基于块特征的指纹图像分割方法    8
3.1.1基于灰度均值的指纹图像分割方法    8
3.1.2基于灰度方差的指纹图像分割方法    9
3.1.3基于方向一致性的指纹图像分割方法    10
3.2基于有效点聚集度的指纹分割方法    12
3.3算法实现与实验结果    14
3.4小结    20
4 总结和展望    21
4.1 总结    21
4.2 展望    21
参考文献    22
致 谢    24