模式识别与人工智能
Thursday, Apr. 3, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2019, Vol. 32 Issue (5): 436-445    DOI: 10.16451/j.cnki.issn1003-6059.201905006
Surveys and Reviews Current Issue| Next Issue| Archive| Adv Search |
Progress of Palmprint Recognition: A Review
ZHONG Dexing1, ZHU Jinsong1, DU Xuefeng1
1.School of Electronic and Information Engineering, Xi′an Jiaotong University, Xi′an 710049

Download: PDF (835 KB)   HTML (0 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Palmprint images contain rich features and they can be easily combined with hand dorsal veins, finger-knuckle-prints and hand shapes to form multimodal features. Thus, palmprint recognition becomes a hot topic in the field of biometric recognition. In this paper, the basic process of palmprint recognition is discussed from three aspects: the collection of palmprint images, region of interest detection, and feature extraction and matching. Multimodal methods based on fusion of different features are also explored. Besides, on the basis of feature extraction means, palmprint recognition algorithms are roughly divided into hand-craft based algorithms including encoding, structure and statistics, and subspace and feature learning based algorithms including machine learning and deep learning. The algorithms are compared and analyzed in detail. Finally, challenges and future perspectives in palmprint recognition are discussed, especially palmprint recognition system in complex environment across different devices.
Key wordsPalmprint Recognition      Region of Interest(ROI) Extraction      Feature Representation and Matching      Multimodal Fusion     
Received: 25 December 2018     
ZTFLH: TP 181  
Fund:Supported by National Natural Science Foundation of China(No.61105021), Natural Science Foundation of Zhejiang Province (No.LGF19F030002)
Corresponding Authors: (ZHONG Dexing(Corresponding author), Ph.D., associate professor. His research interests include computer vision and biometric recognition.)   
About author:: (ZHU Jinsong, Ph.D.candidate. His research interests include computer vision and biometric recognition.)(DU Xuefeng, undergraduate.)
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
ZHONG Dexing1
ZHU Jinsong1
DU Xuefeng1
Cite this article:   
ZHONG Dexing1,ZHU Jinsong1,DU Xuefeng1. Progress of Palmprint Recognition: A Review[J]. , 2019, 32(5): 436-445.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201905006      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2019/V32/I5/436
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn