计算机工程与应用2026，Vol.62Issue(9)：61-82,22.DOI:10.3778/j.issn.1002-8331.2505-0331
从虹膜图像中揭示人类性别与种族研究综述
Research Review on Revealing Human Gender and Race from Iris Images
摘要
Abstract
This paper systematically reviews the research progress in demographic analysis based on iris images,with a focus on the classification of two key attributes:gender and race.It elaborates on the fundamental principles and task diffi-culties of iris attribute classification,followed by an introduction to its application scenarios and two integration modes with iris recognition(serial integration and parallel integration).Subsequently,seven commonly used quantitative evalua-tion metrics for iris attribute classification are listed.For iris gender classification,the developmental trajectory is presented through two major categories:traditional handcrafted feature-based methods and deep learning-based methods.For iris race classification,the progress is outlined via statistical value-based methods and texture primitive-based methods.Addi-tionally,the paper summarizes the characteristics and applicable scenarios of mainstream iris attribute classification datasets,including ND-GFI,CVBL_IRIS,UNAB-Gender,and CASIA-BioSecure.Furthermore,it analyzes current challenges in iris attribute classification,such as attribute classification in unconstrained environments,multimodal/feature fusion,cross-domain(spectral/sensor)generalization,data distribution and annotation,and model lightweighting.Finally,the paper concludes with a comprehensive summary,providing systematic references for technological development and applica-tions in this field.关键词
人口统计学分析/性别分类/种族分类/虹膜识别/软生物识别Key words
demographic analysis/gender classification/race classification/iris recognition/soft biometrics recognition分类
信息技术与安全科学引用本文复制引用
刘训禄,王财勇,田金秋,赵光哲..从虹膜图像中揭示人类性别与种族研究综述[J].计算机工程与应用,2026,62(9):61-82,22.基金项目
国家自然科学基金(62106015) （62106015）
北京市自然科学基金(4242018) （4242018）
北京市科协青年人才托举工程(BYESS2023130) （BYESS2023130）
北京建筑大学"建大英才"培养工程(JDYC20220819). （JDYC20220819）
