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DeepIris: Learning pairwise filter bank for heterogeneous iris verification
Liu, Nianfeng; Zhang, Man; Li, Haiqing; Sun, Zhenan; Tan, Tieniu
2016-10-15
发表期刊PATTERN RECOGNITION LETTERS
卷号82期号:2页码:154-161
文章类型Article
摘要Heterogeneous iris recognition (HIR) is in great demand for a large-scale identity management system. Iris images acquired in heterogeneous environment have large intra-class variations, such as different resolutions or different sensor optics, etc. Therefore, it is challenging to manually design a robust encoding filter to face the complex intra-class variations of heterogeneous iris images. This paper proposes a deep learning based framework for heterogeneous iris verification, namely DeepIris, which learns relational features to measure the similarity between pairs of iris images based on convolutional neural networks. DeepIris is a novel solution to iris recognition in two main aspects. (1) DeepIris learns a pairwise filter bank to establish the relationship between heterogeneous iris images, where pairs of filters are learned from two heterogeneous sources. (2) Different from two separate steps in terms of handcrafted feature extraction and feature matching in conventional solutions, DeepIris directly learns a nonlinear mapping function between pairs of iris images and their identity supervision with a pairwise filter bank (PFB) from different sources. Thus, the learned pairwise filters can adapt to new sources when given new training data. Extensive experimental results on the Q-FIRE and the CASIA cross sensor datasets demonstrate that EER (Equal Error Rate) of heterogeneous iris verification is reduced by 90% using DeepIris compared to traditional methods. (C) 2015 Elsevier B.V. All rights reserved.
关键词Biometrics Iris Verification Convolutional Neural Networks Deep Learning Iris Recognition
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patrec.2015.09.016
关键词[WOS]IMAGES
收录类别SCI
语种英语
项目资助者National Basic Research Program of China(2012CB316300) ; National Natural Science Foundation of China(61273272) ; Beijing Baidu Netcom Science Technology Co., Ltd.
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000386874600008
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13622
专题智能感知与计算研究中心
作者单位Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit,Inst Automat, Beijing, Peoples R China
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GB/T 7714
Liu, Nianfeng,Zhang, Man,Li, Haiqing,et al. DeepIris: Learning pairwise filter bank for heterogeneous iris verification[J]. PATTERN RECOGNITION LETTERS,2016,82(2):154-161.
APA Liu, Nianfeng,Zhang, Man,Li, Haiqing,Sun, Zhenan,&Tan, Tieniu.(2016).DeepIris: Learning pairwise filter bank for heterogeneous iris verification.PATTERN RECOGNITION LETTERS,82(2),154-161.
MLA Liu, Nianfeng,et al."DeepIris: Learning pairwise filter bank for heterogeneous iris verification".PATTERN RECOGNITION LETTERS 82.2(2016):154-161.
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