CASIA OpenIR  > 智能感知与计算
Bin-based classifier fusion of iris and face biometrics
Miao, Di1,2; Zhang, Man2; Sun, Zhenan2; Tan, Tieniu2; He, Zhaofeng2
发表期刊NEUROCOMPUTING
2017-02-08
期号224页码:105-118
文章类型Article
摘要Accuracy and usability are the two most important issues for a multibiometric system. Most of multibiometric systems are based on matching scores or features of multiple biometric traits. However, plenty of identity information is lost in the procedure of extracting scores or features from captured multimodal biometric data, and the loss of information stops accuracy and usability of the multibiometric system from reaching a higher level. It is believed that matching scores can recover some identity information, which has not been utilized in previous fusion work. This study proposes a framework of bin-based classifier method for the fusion of multibiometrics, to deal with this problem. The proposed method embeds matching scores into a higher dimensional space by the bin-based classifier, and rich identity information, which is hidden in matching scores, is recovered in this new space. The recovered information is sufficient to distinguish impostors from genuine users more accurately. Therefore, the multibiometric systems which are based on such rich information, are able to achieve more accurate and reliable results. The ensemble learning method is then used to select the most powerful embedding spaces. Experimental results on the CASIA-Iris-Distance demonstrate the superiority of the proposed fusion framework.
关键词Multibiometrics Fusion Iris Recognition Face Recognition
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2016.10.048
关键词[WOS]RECOGNITION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61403389 ; Beijing Nova Programme(Z141101001814090) ; 61273272 ; 61573360)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000392355600010
引用统计
被引频次:16[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/173211/14361
专题智能感知与计算
作者单位1.Univ Sci & Technol China, Dept Automat, Hefei 230026, Peoples R China
2.Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位模式识别国家重点实验室
推荐引用方式
GB/T 7714
Miao, Di,Zhang, Man,Sun, Zhenan,et al. Bin-based classifier fusion of iris and face biometrics[J]. NEUROCOMPUTING,2017(224):105-118.
APA Miao, Di,Zhang, Man,Sun, Zhenan,Tan, Tieniu,&He, Zhaofeng.(2017).Bin-based classifier fusion of iris and face biometrics.NEUROCOMPUTING(224),105-118.
MLA Miao, Di,et al."Bin-based classifier fusion of iris and face biometrics".NEUROCOMPUTING .224(2017):105-118.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2017Neuro_Bin-based (1905KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Miao, Di]的文章
[Zhang, Man]的文章
[Sun, Zhenan]的文章
百度学术
百度学术中相似的文章
[Miao, Di]的文章
[Zhang, Man]的文章
[Sun, Zhenan]的文章
必应学术
必应学术中相似的文章
[Miao, Di]的文章
[Zhang, Man]的文章
[Sun, Zhenan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 2017Neuro_Bin-based classifier fusion of iris and face biometrics.pdf
格式: Adobe PDF
此文件暂不支持浏览
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。