手指静脉识别技术研究与实现
发布时间：2019-07-09 11:03
【摘要】：近年来,信息安全对于人类来说比之前更加重要。在生活中,一般的安全技术不能很好的满足身份识别的需要,存在容易丢失、易被窃取的可能性。人们需要一种既方便快捷又安全可靠的身份认证技术,而基于人体生物特征的身份认证技术提供了这种可能。生物特征识别技术是依靠人本身所拥有的生物特征或者行为特征来进行身份认证的技术,关于手的身份特征识别技术是生物生物特征识别技术的一部分。人们习惯用手去做许多事情,因而用人手去来进行身份进行识别是比较方便的,使用者内心也是可以接纳的。现在,关于手的身份特征识别技术主要有掌纹识别、指纹识别、手型识别、手背静脉识别等。手指静脉识别技术基于手内部隐藏的特征,基于活体识别。它很难被复制和窃取。手指静脉识别的设备体积小且容易携带,应用也越来越广泛。本文简要介绍了基于静脉结构的模板匹配算法和基于细节点距离的手指静脉识别方法。描述了基于相位相关算法和基于梯度相关的手指静脉识别算法的实现过程,并且对这两种算法的识别效果进行了分析。提出了改进的梯度算法方案,以缩小存储空间和提高处理速度。本文最后探讨了脉搏对识别精度的影响,提出了通过视频采集而不是单张图片采集的方法来提升识别精度的方法。
文内图片：
图片说明：图２－２相关系数分布图逡逑参考图２－２，可以看出有两个峰值分别在左边和右边
[Abstract]:In recent years, information security is more important to humans than before. In life, the general security technology can not well meet the needs of the identification, and the possibility of being easily lost and easy to be stolen exists. There is a need for an identity authentication technology that is convenient and fast and safe and reliable, and the identity authentication technology based on the biological characteristics of the human body provides this possibility. Biometric identification technology is a technology that relies on the biological characteristics or behavioral characteristics of human beings to carry on identity authentication, and the identification technology of the identity of the hand is part of the biological characteristic identification technology. People are used to doing a lot of things by hand, so it is convenient to use the hand to identify the identity, and the user can also accept it. Now, the identification technology of the identity of the hand mainly includes the recognition of the palm print, the fingerprint identification, the hand-type recognition, the hand-back vein recognition, and the like. The finger vein recognition technology is based on the feature of the hidden inside of the hand and is based on the living body identification. It's hard to be copied and stolen. The device of finger vein recognition is small and easy to carry, and the application is more and more extensive. In this paper, the template matching algorithm based on the vein structure and the finger vein recognition method based on the detail point distance are introduced in this paper. The realization of the algorithm of finger vein recognition based on the phase correlation algorithm and the gradient-related algorithm is described, and the recognition effect of these two algorithms is analyzed. An improved gradient algorithm is proposed to reduce the storage space and improve the processing speed. In this paper, the effect of pulse on the recognition precision is discussed, and a method to improve the recognition accuracy by means of video acquisition rather than single-picture acquisition is proposed.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.41;TP309
本文编号：2512101
文内图片：
图片说明：图２－２相关系数分布图逡逑参考图２－２，可以看出有两个峰值分别在左边和右边
[Abstract]:In recent years, information security is more important to humans than before. In life, the general security technology can not well meet the needs of the identification, and the possibility of being easily lost and easy to be stolen exists. There is a need for an identity authentication technology that is convenient and fast and safe and reliable, and the identity authentication technology based on the biological characteristics of the human body provides this possibility. Biometric identification technology is a technology that relies on the biological characteristics or behavioral characteristics of human beings to carry on identity authentication, and the identification technology of the identity of the hand is part of the biological characteristic identification technology. People are used to doing a lot of things by hand, so it is convenient to use the hand to identify the identity, and the user can also accept it. Now, the identification technology of the identity of the hand mainly includes the recognition of the palm print, the fingerprint identification, the hand-type recognition, the hand-back vein recognition, and the like. The finger vein recognition technology is based on the feature of the hidden inside of the hand and is based on the living body identification. It's hard to be copied and stolen. The device of finger vein recognition is small and easy to carry, and the application is more and more extensive. In this paper, the template matching algorithm based on the vein structure and the finger vein recognition method based on the detail point distance are introduced in this paper. The realization of the algorithm of finger vein recognition based on the phase correlation algorithm and the gradient-related algorithm is described, and the recognition effect of these two algorithms is analyzed. An improved gradient algorithm is proposed to reduce the storage space and improve the processing speed. In this paper, the effect of pulse on the recognition precision is discussed, and a method to improve the recognition accuracy by means of video acquisition rather than single-picture acquisition is proposed.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.41;TP309
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