脑纹识别研究综述

doi:10.3969/j.issn.0258-8021.2017.05.013

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摘要个人身份识别在当今互联网信息时代有着重要的意义,而传统的身份识别方式在安全上无法得到充分保证。脑电信号作为一种新型的生物特征,在不可窃取、不可伪造、必须活体检测等方面具有独特的优势,能为身份识别提供更安全的生物识别方法。因此,脑纹识别有着广阔的研究前景和应用价值。回顾近年来基于脑电信号的身份识别技术,详细阐述基于静息电位、视觉诱发电位(VEP)、运动想像、事件相关电位(ERP)在脑纹识别过程中的基本原理与方法,并分析各自的优势和局限性;最后就脑纹识别研究现状进行论述,并对其研究前景进行展望。

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	汪露雲
	孔万增
	张昕昱
	范巧男

关键词 ：脑纹识别, 静息电位, 视觉诱发电位, 运动想像, 事件相关电位

Abstract：Personal identification is particularly important in information security. The traditional way of identification is not sufficient in terms of security. As a new type of biometrics, electroencephalogram(EEG) signals has unique advantages of unstolenness, unforgeability and in vivo detection. It provides a more secure biometric method for identification. Therefore, EEG fingerprints is promising both in terms of scientific research and real-world application. In this paper, the state of art of the identification technologies based on EEG signals are reviewed. It also introduces the principles and methods of EEG fingerprints identification with regarding to resting state, visual evoked potential (VEP), motor imagery and event-related potential (ERP). Meanwhile, both advantages and limitations of these methods are discussed. Finally, research direction is summarized.

Key words： EEG fingerprints identification resting potential visual evoked potential motor imagery event-related potential

收稿日期: 2017-03-10

PACS:

R318

基金资助:国家自然科学基金(61671193);国家国际科技合作专项资助项目(2014DFG12570)

通讯作者: *E-mail:kongwanzeng@hdu.edu.cn

引用本文:

汪露雲, 孔万增, 张昕昱, 范巧男. 脑纹识别研究综述[J]. 中国生物医学工程学报, 2017, 36(5): 602-607.
Wang Luyun, Kong Wanzeng, Zhang Xinyu, Fan Qiaonan. The Survey of EEG Fingerprints Identification. Chinese Journal of Biomedical Engineering, 2017, 36(5): 602-607.

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http://cjbme.csbme.org/CN/10.3969/j.issn.0258-8021.2017.05.013 或 http://cjbme.csbme.org/CN/Y2017/V36/I5/602

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