Bidirectional aggregated features fusion from CNN for palmprint recognition | |
Zhang, Jianxin; Yang, Aoqi; Zhang, Mingli; Zhang, Qiang | |
刊名 | International Journal of Biometrics |
2018 | |
卷号 | 10页码:334-351 |
ISSN号 | 17558301 |
URL标识 | 查看原文 |
WOS记录号 | [DB:DC_IDENTIFIER_WOSID] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3234901 |
专题 | 大连理工大学 |
作者单位 | 1.Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, No. 10, Xuefu Street, Jinzhou New District, Dalian, China 2.Department of Software Engineering and IT, Ecole de Technologie Superieure , 1100 Rue Notre-Dame Ouest, Montreal, Canada 3.Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, No. 10, Xuefu Street, Jinzhou New District, Dalian, China |School of Computer Science and Technology, Dalian University of Technology, No. 2 Lingong Road, Ganjinzi District, Dalian, China |
推荐引用方式 GB/T 7714 | Zhang, Jianxin,Yang, Aoqi,Zhang, Mingli,et al. Bidirectional aggregated features fusion from CNN for palmprint recognition[J]. International Journal of Biometrics,2018,10:334-351. |
APA | Zhang, Jianxin,Yang, Aoqi,Zhang, Mingli,&Zhang, Qiang.(2018).Bidirectional aggregated features fusion from CNN for palmprint recognition.International Journal of Biometrics,10,334-351. |
MLA | Zhang, Jianxin,et al."Bidirectional aggregated features fusion from CNN for palmprint recognition".International Journal of Biometrics 10(2018):334-351. |
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