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CASIA-Iris-Africa:A Large-scale African Iris Image Database

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Iris biometrics is a phenotypic biometric trait that has proven to be agnostic to human natural physiological changes.Re-search on iris biometrics has progressed tremendously,partly due to publicly available iris databases.Various databases have been avail-able to researchers that address pressing iris biometric challenges such as constraint,mobile,multispectral,synthetics,long-distance,contact lenses,liveness detection,etc.However,these databases mostly contain subjects of Caucasian and Asian docents with very few Africans.Despite many investigative studies on racial bias in face biometrics,very few studies on iris biometrics have been published,mainly due to the lack of racially diverse large-scale databases containing sufficient iris samples of Africans in the public domain.Fur-thermore,most of these databases contain a relatively small number of subjects and labelled images.This paper proposes a large-scale African database named Chinese Academy of Sciences Institute of Automation(CASIA)-Iris-Africa that can be used as a complement-ary database for the iris recognition community to mediate the effect of racial biases on Africans.The database contains 28 717 images of 1 023 African subjects(2046 iris classes)with age,gender,and ethnicity attributes that can be useful in demographically sensitive studies of Africans.Sets of specific application protocols are incorporated with the database to ensure the database's variability and scalability.Performance results of some open-source state-of-the-art(SOTA)algorithms on the database are presented,which will serve as baseline performances.The relatively poor performances of the baseline algorithms on the proposed database despite better performance on oth-er databases prove that racial biases exist in these iris recognition algorithms.The database will be made available on our website:http://www.idealtest.org.

African iris recognitionracial biasiris image databasebiometricsiris recognition

Jawad Muhammad、Yunlong Wang、Junxing Hu、Kunbo Zhang、Zhenan Sun

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School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China

Center for Research on Intelligent Perception and Computing,National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaStrategic Priority Research Program of Chinese Academy of SciencesCAS-TWAS president's Fellowship for International Doctoral StudentsBeijing Nova ProgramBeijing Nova Program

620714686217602562006225XDA27040700Z201100006820050Z211100002121010

2024

10.1007/s11633-022-1402-8

机器智能研究(英文)
中国科学院自动化所

机器智能研究(英文)

CSTPCDEI
影响因子：0.49
ISSN：2731-538X
年,卷(期)：2024.21(2)
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