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联合人脸与指纹的多模态生物特征识别方法综述
引用本文:肖建力,张静.联合人脸与指纹的多模态生物特征识别方法综述[J].上海理工大学学报,2017,39(1):51-57.
作者姓名:肖建力  张静
作者单位:上海理工大学 光电信息与计算机工程学院, 上海 200093,上海理工大学 光电信息与计算机工程学院, 上海 200093
基金项目:国家自然科学基金资助项目(61503250);上海高校青年教师培养资助计划(ZZslg15018);上海理工大学国家级项目培育课题(16HJPY-QN03)
摘    要:由于基于生物特征识别的方式不但简单快速,而且安全可靠,近年来,作为生物特征识别的典型技术,人脸识别与指纹识别被广泛应用.然而,使用单一特征的生物特征识别系统,其正确率和稳定性还有待提高,且容易被作弊手段攻破.因此,侧重于回顾联合人脸与指纹的多模态生物特征识别方法.首先分别回顾了人脸、指纹识别的研究现状;然后对单模态生物特征识别面临的挑战进行了总结;在此基础上,为了解决单模态生物特征识别存在的正确率不够高和稳定性不够强等问题,重点讨论了联合人脸与指纹进行多模态生物特征识别的方法和未来的发展方向.

关 键 词:人脸  指纹  身份识别  多模态
收稿时间:2016/12/9 0:00:00

Survey on the Multimodal Biometric Identification by Fusing Faces and Fingerprints
XIAO Jianli and ZHANG Jing.Survey on the Multimodal Biometric Identification by Fusing Faces and Fingerprints[J].Journal of University of Shanghai For Science and Technology,2017,39(1):51-57.
Authors:XIAO Jianli and ZHANG Jing
Institution:School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:Face and fingerprint recognition, the two most popular biometric identification technologies, are widely used in recent years due to their simplicity, rapidity and safety. However, the accuracy and robustness of the biometric identification systems using a single feature need to be improved further. Meanwhile, these systems are easy to be cracked by forged faces or fingerprints. Thus, multimodal biometric recognition methods by fusing faces and fingerprints were focued. A review on the researches of face and fingerprint recognition technologies was afforded, and then the challenges of monomodal biometric recognition was summerized. On this basis, the multimodal biometric recognition methods by fusing faces and fingerprints were described to solve the defects of the monomodal biometric recognition. Finally, the future developments of the multimodal biometric recognition methods were presented.
Keywords:face  fingerprint  person identification  multimodal
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