Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor
Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns. However, as reported by recent studies, an iris recognition system can be fooled by the use of artificial iris patterns and lead to a reduction...
Main Authors: | Dat Tien Nguyen, Tuyen Danh Pham, Young Won Lee, Kang Ryoung Park |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/8/2601 |
Similar Items
-
Presentation Attack Detection for Iris Recognition System Using NIR Camera Sensor
by: Dat Tien Nguyen, et al.
Published: (2018-04-01) -
Spoof Detection for Finger-Vein Recognition System Using NIR Camera
by: Dat Tien Nguyen, et al.
Published: (2017-10-01) -
Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors
by: Dat Tien Nguyen, et al.
Published: (2018-02-01) -
Toward an Efficient Iris Recognition System on Embedded Devices
by: Daniel P. Benalcazar, et al.
Published: (2023-01-01) -
IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors
by: Muhammad Arsalan, et al.
Published: (2018-05-01)