A Brief Survey on Modern Iris Feature Extraction Methods
A Brief Survey on Modern Iris Feature Extraction Methods

Hanaa M. Ahmed; Mohammed A. Taha

Volume 39, 1A , January 2021, , Page 123-129

https://doi.org/10.30684/etj.v39i1A.1680

Abstract
  This paper presents a survey of some of the most recent research work on the extraction phase of the Iris recognition system. Iris biometric system has been used for person recognition ...  Read More ...
High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network
High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network

Ekbal Hussein Ali; Sameir A. Azeiz; Suad Ali Eissa

Volume 34, 12A , December 2016, , Page 2239-2248

https://doi.org/10.30684/etj.34.12A.7

Abstract
  Iris recognition is regarded as the most reliable and accurate biometric identification system available highly protected and stable.Iris situating is the main focus in the procedure ...  Read More ...
Thin Iris Region Recognition Using the RED Algorithm
Thin Iris Region Recognition Using the RED Algorithm

Safaa S. Omran; Aqeel A. Al-Hilali

Volume 34, 5A , May 2016, , Page 1017-1028

https://doi.org/10.30684/etj.34.5A.18

Abstract
  Iris recognition system provides automatic identification of an individual based on a unique feature that located inside the iris. To detect these features Ridge Energy Detection (RED) ...  Read More ...
Iris Recognition Using Wavelet Transform and Artificial Neural Networks
Iris Recognition Using Wavelet Transform and Artificial Neural Networks

Hadeel N. Abdullah; Ahmed A. Abdullah

Volume 33, 4A , May 2015, , Page 877-888

https://doi.org/10.30684/etj.33.4A.11

Abstract
  In this approach to get more accuracy of the iris recognition, is composed of many steps: capturing the iris image, determining the location of the iris boundaries, normalization, preprocessed ...  Read More ...