Novel system for human iris recognition depending on morphological operations and MLP classifiers

Authors

  • Ali Ali Tishreen university
  • Iyad Hatem Tishreen University

Abstract

This article suggested a novel system for human iris recognition, and created two algorithms for constrained iris images segmentation. We used Casia-Iris-Syn database  Supplied by National Laboratory for Pattern Recognition , Institute of Automation , Chinese Academy of Sciences. K-fold cross validation method, morphological operations and multi-layer perceptron neural networks were used in this system. Two novel approaches has been proposed in the iris recognition system; the first was generated for iris image  segmentation with an overall accuracy rate  of (99.72%) for (10,000) iris images taken from the casia-iris-syn database, and the second was designed for feature extraction phase with average recognition rate of (99.78% for training patterns and 85.32% for testing patterns) using the same database. . We recommended  the suggested method as an excellent system for human iris recognition.

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Published

2024-06-08

How to Cite

1.
علي علي, إياد حاتم. Novel system for human iris recognition depending on morphological operations and MLP classifiers . Tuj-eng [Internet]. 2024Jun.8 [cited 2024Dec.23];46(2):139-54. Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/16770

Issue

Vol. 46 No. 2 (2024): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Master student researches

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Copyright (c) 2024 https://creativecommons.org/licenses/by-nc-sa/4.0/

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