Deep finger texture learning for verifying people
Author:
Affiliation:
1. Department of Computer Science and Information SystemsBirkbeck, University of LondonLondonUK
2. College of Engineering, Newcastle UniversityNewcastle upon TyneUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2018.5066
Reference32 articles.
1. Liu F. Liu H. Gao L.: ‘Hand recognition based on finger‐contour and PSO’.Proc. of Int. Conf. on Intell. Comput. and Internet of Things Harbin China 2015 pp.35–39
2. Finger vein identification system using two cameras
3. Importance of Being Unique From Finger Dorsal Patterns: Exploring Minor Finger Knuckle Patterns in Verifying Human Identities
4. Finger texture biometric verification exploiting Multi-scale Sobel Angles Local Binary Pattern features and score-based fusion
5. Robust feature extraction and salvage schemes for finger texture based biometrics
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