【图像处理】生物特征融合综合概述

生物特征融合综合概述

题目：

A Comprehensive Overview of Biometric Fusion

作者：

Maneet Singh，Richa Singh，Arun Ross

来源：

Computer Vision and Pattern Recognition (cs.CV)

(Submitted on 8 Feb 2019)

链接：

https://arxiv.org/abs/1902.02919

摘要

依赖于单一生物特征模态（例如，仅指纹）的生物特征识别系统的性能经常受到各种因素的阻碍，例如数据质量差或可扩展性有限。多生物系统利用融合原理来组合来自多个来源的信息，以提高识别准确度，同时解决单生物识别系统的一些局限性。过去二十年见证了大量生物识别融合方案的发展。本文概述了生物识别融合，特别关注三个问题：融合什么，何时融合，以及如何融合。还介绍了在生物识别管道中纳入辅助信息的技术的全面审查。在这方面，讨论了以下主题：（i）将数据质量纳入生物识别管道; （ii）将软生物特征属性与主要生物特征识别器相结合; （iii）利用背景信息提高生物识别准确度; （iv）使用辅助信息进行连续认证。此外，还讨论了用于表示攻击检测和多生物密码系统的信息融合原理的使用。最后，列举了生物识别融合中的一些研究挑战。本文的目的是为读者提供信息融合在生物识别中的作用的全面概述。

要点

人脸识别系统的通用流水线。从模式识别的角度来看，生物识别系统最重要的模块是传感器模块、分割模块;特征提取模块;以及分类或决策模块。

图2为:生物识别背景下的信息融合可用于提高识别精度(多生物识别、辅助信息)或提高安全性

(密码、恶意检测)。在某些情况下，非生物特征线索也可用于融合框架。图片来自互联网，WVU多模态数据集，MLFP数据集。

英文原文

The performance of a biometric system that relies on a single biometric modality (e.g., fingerprints only) is often stymied by various factors such as poor data quality or limited scalability. Multibiometric systems utilize the principle of fusion to combine information from multiple sources in order to improve recognition accuracy whilst addressing some of the limitations of single-biometric systems. The past two decades have witnessed the development of a large number of biometric fusion schemes. This paper presents an overview of biometric fusion with specific focus on three questions: what to fuse, when to fuse, and how to fuse. A comprehensive review of techniques incorporating ancillary information in the biometric recognition pipeline is also presented. In this regard, the following topics are discussed: (i) incorporating data quality in the biometric recognition pipeline; (ii) combining soft biometric attributes with primary biometric identifiers; (iii) utilizing contextual information to improve biometric recognition accuracy; and (iv) performing continuous authentication using ancillary information. In addition, the use of information fusion principles for presentation attack detection and multibiometric cryptosystems is also discussed. Finally, some of the research challenges in biometric fusion are enumerated. The purpose of this article is to provide readers a comprehensive overview of the role of information fusion in biometrics.