摘要
输入图像的质量严重影响生物识别系统的精度.生物识别系统中大部分的匹配错误都是由低质量的输入图像导致的,这也是目前大部分生物识别系统的弱点所在.提出人脸图像质量评估的标准化方法,提出基于人脸对称性的方法评价人脸识别中的非对称光照和不正确姿态问题.阐述了人脸对称性的概念和评估方法;实验结果证明其有效性.
Performance of biometric systems is dependent on quality of acquired biometric samples. Poor sample quality is a main reason for matching errors in biometric systems and may be the main weakness of some implementations. This paper proposes an approach for standardization of facial image quality, and develops facial symmetry based methods for the assessment of it by measuring facial asymmetries caused by non-frontal lighting and improper facial pose. Experimental results are provided to illustrate the concepts, definitions and effectiveness.
出处
《小型微型计算机系统》
CSCD
北大核心
2009年第1期95-99,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60518002)资助
关键词
生物图像质量
人脸对称性
局部特征
标准
biometric sample quality
facial symmetry
local features
standardization
