Iris recognition of defocused images for mobile phones
In this paper, we introduce a novel iris recognition approach for mobile phones, which takes into account imaging noise arising from image capture outside the depth of field (DOF) of cameras. Unlike existing approaches that rely on special hardware to extend the DOF or computationally expensive algo...
Saved in:
Main Authors: | Liu, Bo, Lam, Siew-Kei, Srikanthan, Thambipillai, Yuan, Weiqi |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/101909 http://hdl.handle.net/10220/16903 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Exploiting stable features for iris recognition of defocused images
by: Liu, Bo, et al.
Published: (2013) -
Iris recognition using stable dark features
by: Liu, Bo, et al.
Published: (2014) -
Image enhancement 3D defocusing based on defocus map estimation
by: Tang, Jiaqi.
Published: (2011) -
Mobile phone speaker recognition
by: Thang, Hui Ru.
Published: (2013) -
Mobile phone speaker recognition application
by: Wong, Joseph Pin Jie
Published: (2015)