CECNet: Coordinate Encoding Competitive Neural Network For Palm Vein Recognition by Soft Large Margin Centralized Cosine Loss
Author:
Affiliation:
1. School of Computer and Information Security, Guilin University of Electronic Technology, Guilin, China
2. School of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China
Funder
Innovation Key Project of Guangxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10352122.pdf?arnumber=10352122
Reference47 articles.
1. A robust palmprint identification system using Histogram of Oriented Gradients and multi-classifiers
2. Class Constraint-based Discriminative Features Learning Algorithm for Palm Print and Palm Vein Fusion Recognition
3. Translational medicine: Challenges and new orthopaedic vision (Mediouni-Model)
4. Boosting local texture descriptors with Log-Gabor filters response for improved image retrieval
5. Palmprint recognition using binary wavelet transform and LBP representation
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