指纹细节点提取与去伪算法研究.doc
约42页DOC格式手机打开展开
指纹细节点提取与去伪算法研究,页数：42字数：20570摘要步入信息化时代后，电子商务、自动银行等业务逐渐开展。保障这些业务顺利进行的关键之一为准确的身份鉴定。生物鉴定，即利用人们的生理特征或行为特征进行鉴定，比其他密码、身份证等鉴定方式能更可靠、更可行的鉴定授权用户及冒名顶替者。指纹是人终生不变的特征之一，而且科学研究...
内容介绍
此文档由会员 cnlula 发布
指纹细节点提取与去伪算法研究
页数：42 字数：20570
摘 要
步入信息化时代后，电子商务、自动银行等业务逐渐开展。保障这些业务顺利进行的关键之一为准确的身份鉴定。生物鉴定，即利用人们的生理特征或行为特征进行鉴定，比其他密码、身份证等鉴定方式能更可靠、更可行的鉴定授权用户及冒名顶替者。
指纹是人终生不变的特征之一，而且科学研究发现不同的手指指纹不同，即便同卵双生的人的指纹也是如此。相比其他的生物鉴定方法，如签名、脸部识别、声音等，指纹鉴定具有费用低，效果好的特点，而且要可靠的多。除了在鉴定疑犯等警务司法工作中使用之外，指纹鉴定在人们的日常生活中也有广泛应用。比如电子商务等。可以这样说指纹是人们随身携带的身份证。
目前市场上流行的自动指纹身份识别系统主要由指纹特征的提取和匹配两大模块组成，其中指纹特征的提取又包括对指纹图的滤波增强，特征的提取和虚假特征的祛除。本文主要研究指纹特征的提取和虚假特征祛除方面的算法。我们首先对生物特征鉴定技术，包括指纹识别技术做一简单的介绍，然后就目前国内外指纹特征提取，去伪的现状给与概述，最后详细描述我们所提出一套完整有效的指纹特征提取并除去伪节点的算法和实验结果。
关键词：生物特征鉴定技术，指纹识别，预处理，细节提取，匹配，终止点，分叉点，去伪
Abstract
In the information age, electronic commerce and automated banking become more and more popular. For the safety of these business accurate automatic personal identification is critical. Biometrics, which refers identification base on physical features or behavior features, compared with other identification method such as password, person identification card, is more reliable and more capable to identify impostor from authority user.
Fingerprint is an immutable feature and scientists find different finger has different fingerprint, even the twins have different fingerprints. Unlike other biometric such as signature, face, speech etc. fingerprint identification is much more reliable and more effective. Besides using in criminal identification and police work, it has become popular in civilian applications, such as electronic commerce. In other word fingerprint is a sort of identity card that people carry with them continuously.
The most Automatic Fingerprint Identification System are mainly consisted of two parts: Features Extraction and Minutia Matching, and the enhancement of fingerprint image, the extraction and remove spurious minutia can be included in the Features Extraction . This paper concentrate on the algorithm of fingerprint minutia extraction and purification, we firstly introduce the biometrics technique and the background of fingerprint identification, then summarize the popular extraction and purification algorithm domestic and abroad, finally we will give a particular presentation of our algorithm in fingerprint features’ extraction and purification and analyse the experiments result.
Key words: Biometrics, Fingerprint identification, preprocess, feature extraction, matching, Termination, Bifurcation, Feature Purification
目 录
摘 要 2
Abstract 3
1.绪论 6
1.1．生物鉴定技术 6
1.1.1生物鉴定特征的要求及分类 6
1.1.2生物鉴定系统及工作模式 7
1.1.3不同生物鉴定技术的比较 8
1.2生物鉴定技术的应用 9
1.3 本文选题和结构 9
本章小结： 10
2．指纹识别技术 10
2．1指纹鉴定的历史 11
2．2指纹的采集 12
2．3指纹的分类 13
2．4指纹的特征描述及匹配 14
2．5自动指纹身份鉴定系统 16
2．5．1系统的模块组成 16
2．5．2 系统的性能指标 17
本章小结: 18
3．指纹特征的提取 19
3.1在细化图上的提取算法 19
3.2 直接灰度提取 22
本章小结 24
4．本文实现的提取算法和实验结果 24
4.1 指纹图的预处理 24
4.2 细化 26
4.3 提取细节点 28
4.4 去除伪节点 29
4.4.1二值图增强 30
4.4.2除去边界效应的伪节点 31
4.4.3 画窗标记去伪 32
4.4.4去除断点 34
4.5实验结果 36
五．全文总结 37
六．致谢 38
参考文献 39
页数：42 字数：20570
摘 要
步入信息化时代后，电子商务、自动银行等业务逐渐开展。保障这些业务顺利进行的关键之一为准确的身份鉴定。生物鉴定，即利用人们的生理特征或行为特征进行鉴定，比其他密码、身份证等鉴定方式能更可靠、更可行的鉴定授权用户及冒名顶替者。
指纹是人终生不变的特征之一，而且科学研究发现不同的手指指纹不同，即便同卵双生的人的指纹也是如此。相比其他的生物鉴定方法，如签名、脸部识别、声音等，指纹鉴定具有费用低，效果好的特点，而且要可靠的多。除了在鉴定疑犯等警务司法工作中使用之外，指纹鉴定在人们的日常生活中也有广泛应用。比如电子商务等。可以这样说指纹是人们随身携带的身份证。
目前市场上流行的自动指纹身份识别系统主要由指纹特征的提取和匹配两大模块组成，其中指纹特征的提取又包括对指纹图的滤波增强，特征的提取和虚假特征的祛除。本文主要研究指纹特征的提取和虚假特征祛除方面的算法。我们首先对生物特征鉴定技术，包括指纹识别技术做一简单的介绍，然后就目前国内外指纹特征提取，去伪的现状给与概述，最后详细描述我们所提出一套完整有效的指纹特征提取并除去伪节点的算法和实验结果。
关键词：生物特征鉴定技术，指纹识别，预处理，细节提取，匹配，终止点，分叉点，去伪
Abstract
In the information age, electronic commerce and automated banking become more and more popular. For the safety of these business accurate automatic personal identification is critical. Biometrics, which refers identification base on physical features or behavior features, compared with other identification method such as password, person identification card, is more reliable and more capable to identify impostor from authority user.
Fingerprint is an immutable feature and scientists find different finger has different fingerprint, even the twins have different fingerprints. Unlike other biometric such as signature, face, speech etc. fingerprint identification is much more reliable and more effective. Besides using in criminal identification and police work, it has become popular in civilian applications, such as electronic commerce. In other word fingerprint is a sort of identity card that people carry with them continuously.
The most Automatic Fingerprint Identification System are mainly consisted of two parts: Features Extraction and Minutia Matching, and the enhancement of fingerprint image, the extraction and remove spurious minutia can be included in the Features Extraction . This paper concentrate on the algorithm of fingerprint minutia extraction and purification, we firstly introduce the biometrics technique and the background of fingerprint identification, then summarize the popular extraction and purification algorithm domestic and abroad, finally we will give a particular presentation of our algorithm in fingerprint features’ extraction and purification and analyse the experiments result.
Key words: Biometrics, Fingerprint identification, preprocess, feature extraction, matching, Termination, Bifurcation, Feature Purification
目 录
摘 要 2
Abstract 3
1.绪论 6
1.1．生物鉴定技术 6
1.1.1生物鉴定特征的要求及分类 6
1.1.2生物鉴定系统及工作模式 7
1.1.3不同生物鉴定技术的比较 8
1.2生物鉴定技术的应用 9
1.3 本文选题和结构 9
本章小结： 10
2．指纹识别技术 10
2．1指纹鉴定的历史 11
2．2指纹的采集 12
2．3指纹的分类 13
2．4指纹的特征描述及匹配 14
2．5自动指纹身份鉴定系统 16
2．5．1系统的模块组成 16
2．5．2 系统的性能指标 17
本章小结: 18
3．指纹特征的提取 19
3.1在细化图上的提取算法 19
3.2 直接灰度提取 22
本章小结 24
4．本文实现的提取算法和实验结果 24
4.1 指纹图的预处理 24
4.2 细化 26
4.3 提取细节点 28
4.4 去除伪节点 29
4.4.1二值图增强 30
4.4.2除去边界效应的伪节点 31
4.4.3 画窗标记去伪 32
4.4.4去除断点 34
4.5实验结果 36
五．全文总结 37
六．致谢 38
参考文献 39
