Optimal Features Subset Selection Using Genetic Algorithms for Iris Recognition

2008 ◽  
pp. 894-904 ◽  
Author(s):  
Kaushik Roy ◽  
Prabir Bhattacharya
Keyword(s):  
Genetic Algorithms ◽  
Iris Recognition ◽  
Subset Selection

IMPROVEMENT OF IRIS RECOGNITION PERFORMANCE USING REGION-BASED ACTIVE CONTOURS, GENETIC ALGORITHMS AND SVMs

2010 ◽  
Vol 24 (08) ◽  
pp. 1209-1236 ◽  
Author(s):  
KAUSHIK ROY ◽  
PRABIR BHATTACHARYA
Keyword(s):  
Genetic Algorithms ◽  
Iris Recognition ◽  
Active Contours ◽  
Active Contour Model ◽  
Recognition Performance ◽  
Texture Features ◽  
Motion Blur ◽  
Misclassification Error ◽  
Support Vector ◽  
Iris Image

Most existing iris recognition algorithms focus on the processing and recognition of the ideal iris images that are acquired in a controlled environment. In this paper, we process the nonideal iris images that are captured in an unconstrained situation and are affected severely by gaze deviation, eyelids and eyelashes occlusions, nonuniform intensity, motion blur, reflections, etc. The proposed iris recognition algorithm has three novelties as compared to the previous works; firstly, we deploy a region-based active contour model to segment a nonideal iris image with intensity inhomogeneity; secondly, genetic algorithms (GAs) are deployed to select the subset of informative texture features without compromising the recognition accuracy; Thirdly, to speed up the matching process and to control the misclassification error, we apply a combined approach called the adaptive asymmetrical support vector machines (AASVMs). The verification and identification performance of the proposed scheme is validated on three challenging iris image datasets, namely, the ICE 2005, the WVU Nonideal, and the UBIRIS Version 1.

Gene subset selection using an iterative approach based on genetic algorithms

2009 ◽  
Vol 14 (1) ◽  
pp. 12-15
Author(s):  
Mohd Saberi Mohamad ◽  
Sigeru Omatu ◽  
Safaai Deris ◽  
Michifumi Yoshioka
Keyword(s):  
Genetic Algorithms ◽  
Subset Selection ◽  
Iterative Approach ◽  
Gene Subset

scholarly journals Multistyle classification of speech under stress using feature subset selection based on genetic algorithms

2007 ◽  
Vol 49 (10-11) ◽  
pp. 801-810 ◽  
Author(s):  
Salvatore Casale ◽  
Alessandra Russo ◽  
Salvatore Serrano
Keyword(s):  
Genetic Algorithms ◽  
Subset Selection ◽  
Feature Subset Selection ◽  
Feature Subset

scholarly journals Features Subset Selection using Improved Teaching Learning based Optimisation (ITLBO) Algorithms for Iris Recognition

2017 ◽  
Vol 10 (34) ◽  
pp. 1-12 ◽  
Author(s):  
C. Raghavendra ◽  
A. Kumaravel ◽  
S. Sivasuramanyan ◽  
◽  
◽  
...  
Keyword(s):  
Iris Recognition ◽  
Subset Selection ◽  
Teaching Learning
Sign in / Sign up

Export Citation Format

Share Document