DeepIris: Learning pairwise filter bank for heterogeneous iris verification
Liu, Nianfeng; Zhang, Man; Li, Haiqing; Sun, Zhenan; Tan, Tieniu
刊名PATTERN RECOGNITION LETTERS
2016-10-15
卷号82期号:2页码:154-161
关键词Biometrics Iris Verification Convolutional Neural Networks Deep Learning Iris Recognition
DOI10.1016/j.patrec.2015.09.016
文献子类Article
英文摘要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.
WOS关键词IMAGES
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000386874600008
资助机构National Basic Research Program of China(2012CB316300) ; National Natural Science Foundation of China(61273272) ; Beijing Baidu Netcom Science Technology Co., Ltd.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/13622]  
专题自动化研究所_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
推荐引用方式
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace