Iris recognition using stable dark features
We propose a novel approach for iris recognition in less constrained environments that takes into account imaging noise arising from image capture outside the Depth of Field (DOF) of cameras. The proposed approach utilizes stable dark regions in iris images for recognition and does not rely on speci...
Main Authors: | Liu, Bo, Lam, Siew-Kei, Srikanthan, Thambipillai, Yuan, Weiqi |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106232 http://hdl.handle.net/10220/23982 |
Similar Items
-
Iris recognition of defocused images for mobile phones
by: Liu, Bo, et al.
Published: (2013) -
Exploiting stable features for iris recognition of defocused images
by: Liu, Bo, et al.
Published: (2013) -
Exploiting FPGA-aware merging of custom instructions for runtime reconfiguration
by: Lam, Siew-Kei, et al.
Published: (2013) -
Low-complexity pruning for accelerating corner detection
by: Srikanthan, Thambipillai, et al.
Published: (2013) -
Reconfiguration algorithms for degradable VLSI arrays with switch faults
by: Zhu, Yuanbo, et al.
Published: (2013)