Hu Li Moments for Low Resolution Thermal Face Recognition
- Resource Type
- Conference
- Authors
- Zaeri, Naser
- Source
- 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim) UKSIM Computer Modelling and Simulation (UKSim), 2018 UKSim-AMSS 20th International Conference on. :79-83 Mar, 2018
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Face recognition
Image resolution
face recognition
low resolution
thermal image
moment invariants
- Language
In this paper, we present a new technique for low resolution face recognition using Hu Li moment invariants. The new technique can handle the issue of low resolution images very efficiently by the virtue of thermal face characteristics. The new technique will be tested on a new database comprising of images of different expressions, and were taken within different time-lapse. Experiments have resulted to almost consistent recognition rates. The proposed technique offers outstanding discriminability and performs efficiently, with an average recognition rate of ~94% over the various resolutions.