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IJCNN
2007
IEEE
14 years 4 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
AVBPA
2003
Springer
158views Biometrics» more  AVBPA 2003»
14 years 3 months ago
A Novel Method to Extract Features for Iris Recognition System
In general, the iris recognition systems have used the wavelet transform as feature extraction techniques. Since the wavelet transform does not have the shift-invariant property, t...
Seung-In Noh, Kwanghyuk Bae, Yeunggyu Park, Jaihie...
ICB
2009
Springer
132views Biometrics» more  ICB 2009»
13 years 7 months ago
Empirical Evidence for Correct Iris Match Score Degradation with Increased Time-Lapse between Gallery and Probe Matches
Abstract. We explore the effects of time lapse on iris biometrics using a data set of images with four years time lapse between the earliest and most recent images of an iris (13 s...
Sarah E. Baker, Kevin W. Bowyer, Patrick J. Flynn
ICB
2007
Springer
119views Biometrics» more  ICB 2007»
14 years 4 months ago
Nonlinear Iris Deformation Correction Based on Gaussian Model
Current iris recognition systems can achieve high level of success under restricted conditions, while they still face challenges of utilizing images with heavy deformation caused b...
Zhuoshi Wei, Tieniu Tan, Zhenan Sun
ICIP
2005
IEEE
14 years 3 months ago
An efficient iris recognition algorithm using phase-based image matching
Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji...