多模型生物识别系统:融合技术及其比较

Dhriti Gupta
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引用次数: 0

摘要

在现代世界,安全和监控相关技术日益迅速发展,为人身和财产提供安全保障。生物识别系统是唯一能够提供准确、安全、可靠的个人验证方案的系统。生物识别系统大致分为两类:单模态和多模态。通过比较这两种系统,很明显,多模态生物识别系统越来越受欢迎,因为它具有处理单模态生物识别系统所涉及的挑战的能力,例如:非通用性,捕获的数据噪声,同类之间的差异,欺骗攻击和不可接受的错误率。本文将讨论不同级别的信息融合、不同级别使用的融合技术以及这些融合级别之间的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multimodel biometric system: Fusion techniques and their comparison
Security and surveillance related technologies are rapidly growing day by day in the modern world to provide the security to the person and to the property. The biometric system is the only one that can provide accurate, secure and reliable scheme for personal verification. Biometric systems are broadly categories into two types: Uni-modal and Multi-modal. By comparing both these systems, it is clear that multi-modal biometric systems are gathering more popularity as it has the capability of dealing challenges involved in uni-modal biometric systems such as: non-universality, captured data noise, variations between same class, spoof attacks and unacceptable error rates. This paper will discuss various levels of information fusion, fusion techniques used at different levels and comparison among these fusion levels.
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