文档介绍：基于深度学****的指纹识别方法研究
文章编号: 2095-2163(2018)03-0064-06中图分类号: 文献标志码: A
摘要: 关键词: (Heilongjiang Hengxun Technology Co. Ltd., Harbin 150090, China)
Abstract: Modern science and technology is in a period of rapid development, fingerprint identification technology has been integrated into the various fields of social life. Among many biometric identification techniques, fingerprint recognition technology is widely used as one of the most intuitive technologies. There are some drawbacks in traditional fingerprint recognition technology, such as manually setting fingerprint features and multiple debugging. Design features and classifier selection are relatively difficult to achieve optimization, resulting in poor recognition rate. It is necessary to propose a scheme to improve the accuracy of fingerprint recognition. With the rise of machine learning technology in recent years, deep learning technology has e a hot topic at the moment. bination of deep learning technology and biometric identification technology also has a bright future. Deep learning technology can learn and analyze in massive data. It can automatically identify, analyze and learn fingerprint characteristic data, thereby reduce manual workload
, and improve the accuracy of fingerprint recognition. This paper introduces briefly the research status and existing problems of deep learning and fingerprint recognition technology, through convolution work has made the analysis and improvement on the fingerprint recognition technology based on the deep learning. In this paper, it is expected that the analysis and improvement of fingerprint identification technology will help people to understand the concept better and application of fingerprint identification, and promote the rapid development of biometric identification technology.
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引言
当今社会,科学技术水平不断发展提高,标志着高速数字化信息时代的来临。大量的数据与信息充斥于人们日常生活的各个角落,面对数据与信息的群集涌入,人们对随之而来的风险与安全问题也日趋关注与重视。对于身份认证,人们试图设置多种多样的密码以保证数据的安全。具体来说,就