Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Iris recognition

A Brief Survey on Modern Iris Feature Extraction Methods

Hanaa M. Ahmed; Mohammed A. Taha

Engineering and Technology Journal, 2021, Volume 39, Issue 1A, Pages 123-129
DOI: 10.30684/etj.v39i1A.1680

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 in wide applications where person identity authentication required for its stability and uniqueness as compared to other biometric systems. Iris based recognition systems consist of stages are Iris localization, normalization, feature extraction, and matching. The extraction of features influences the precision and reliability of the biometric system, so several methods have been used.

High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network

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

Engineering and Technology Journal, 2016, Volume 34, Issue 12, Pages 2239-2248

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 of iris recognition and verifies the precision of identification. In this work, a new algorithmfor iris localization is suggested based on the median filter and the histogram to determine an automated global threshold and the pupil centre. An algebraic based on semi-discrete matrix decomposition SDD is used to extract iris feature from iris image that decrease the difficultyininput layered neural network,thesizes of input patterns are enhanced. The iris recognition is developed by a neural network with differential adaptive learning rate to identify the iris features. This method is simple,effective and high speed recognition. The system is implemented by using Matlab. Experimental outcomes indicate that the suggested algorithm gives the accuracy of 100 % with time equal 1.4 sec is best than other methods for Daugman and Wildes.