A Novel Eyelashes Removal Method for Improving Iris Data Preservation Rate

Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition

The biometric system is based on human's behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person's life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the eye. Iris recognition technology includes four subsections as, capturing of the ir...

A Novel Fuzzy Based Method for Heart Rate Variability Prediction

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...

A Novel Method for Removal of Hazardous Microplastics from Water Using Magnets

A Novel and Efficient Feature Extraction Method for Iris Recognition

Jong-Gook Ko et al. 399 ABSTRACT⎯With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that t...

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, the iris features are inconsistently extracted due to the eye image rotation and the inexact iris localization. In this paper, a novel method to extract features is proposed for iris recognition system. Two types of fe...