IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics

doi:10.1109/TIFS.2023.3268504

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics
	Muhammad, Jawad 1,2; Wang, Caiyong 3,4; Wang, Yunlong 1,2; Zhang, Kunbo 1,2; Sun, Zhenan 1,2
刊名	IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
	2023
卷号	18 页码:2723-2736
关键词	Iris biometrics iris segmentation iris localization heuristics guide
ISSN号	1556-6013
DOI	10.1109/TIFS.2023.3268504
通讯作者	Sun, Zhenan(znsun@nlpr.ia.ac.cn)
英文摘要	In recent years, unconstrained iris biometrics has become more prevalent due to its wide range of user applications. However, it also presents numerous challenges to the Iris pre-processing task of Localization and Segmentation (ILS). Many ILS techniques have been proposed to address these challenges, among which the most effective is the CNN-based methods. Training the CNN is data-intensive, and most of the existing CNN-based ILS approaches do not incorporate iris-specific features that can reduce their data dependence, despite the limited labelled iris data in the available databases. These trained CNN models built upon these databases can be sub-optimal. Hence, this paper proposes a guided CNN-based ILS approach IrisGuideNet. IrisGuideNet involves incorporating novel iris-specific heuristics named Iris Regularization Term (IRT), deep supervision technique, and hybrid loss functions in the training pipeline, which guides the network and reduces the model data dependence. A novel Iris Infusion Module (IIM) that utilizes the geometrical relationships between the ILS outputs to refine the predicted outputs is introduced at network inference. The proposed model is trained and evaluated with various datasets. Experimental results show that IrisGuideNet has outperformed most models across all the database categories. The codes implementation of the proposed IrisGuideNet will be available at: https://github.com/mohdjawadi/IrisGuidenet.
资助项目	National Natural Science Foundation of China[62106015] ; National Natural Science Foundation of China[62006225] ; National Natural Science Foundation of China[62176025] ; National Key Research and Development Program of China[2022YFC3310400] ; Chinese Academy of Sciences (CAS)-The World Academy of Sciences(TWAS) President's Fellowship for International Doctoral Students ; Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture (BUCEA)[JDYC20220819] ; Beijing Association for Science and Technology (BAST)
WOS关键词	RECOGNITION
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000981885300008
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences (CAS)-The World Academy of Sciences(TWAS) President's Fellowship for International Doctoral Students ; Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture (BUCEA) ; Beijing Association for Science and Technology (BAST)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/53332]
专题	多模态人工智能系统全国重点实验室
通讯作者	Sun, Zhenan
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Beijing Univ Civil Engn & Architecture, Sch Elect & Informat Engn, Beijing 100044, Peoples R China 4.Beijing Key Lab Robot Bion & Funct Res, Beijing 100044, Peoples R China
推荐引用方式 GB/T 7714	Muhammad, Jawad,Wang, Caiyong,Wang, Yunlong,et al. IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2023,18:2723-2736.
APA	Muhammad, Jawad,Wang, Caiyong,Wang, Yunlong,Zhang, Kunbo,&Sun, Zhenan.(2023).IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,18,2723-2736.
MLA	Muhammad, Jawad,et al."IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 18(2023):2723-2736.