Iris Recognition and Automated Eye Tracking

Authors

  • Avinash Trivedi Electronics & Communication, Sigma Institute Of Engineering
  • Akshaya Patel Electronics & Communication, Sigma Institute Of Engineering
  • Ramanuj Gupta Electronics & Communication, Sigma Institute Of Engineering
  • Rakesh Koringa Electronics & Communication, Sigma Institute Of Engineering
  • Hardik Prajapati Electronics & Communication, Sigma Institute Of Engineering

Keywords:

Iris pattern, MATLAB, iris localization, normalization, segmentation, hough transform, binarization.

Abstract

Physiological and behavioral characteristics of individuals that distinguish one person from the others.
These characteristics are different in each person Iris is the best characteristic that can be used for person’s
identification and authentication in comparison with fingerprints, face, voice, and signature. The iris pattern is different
between the right and left eye of the same person. For this recognition system we have used MATLAB tool. For iris
recognition first of all database will be created in MATLAB using webcam. Then iris localization is done, for iris
identification. After localization normalization and segmentation will performed, for that hough transform algorithm
implemented. In last binarization of image is performed. Then binary output is compared with database image’s binary
value. From comparison recognition is done, we can identify whether person is authorized or not.

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Published

2022-08-23

How to Cite

Avinash Trivedi, Akshaya Patel, Ramanuj Gupta, Rakesh Koringa, & Hardik Prajapati. (2022). Iris Recognition and Automated Eye Tracking. International Journal of Advance Engineering and Research Development (IJAERD), 4(13), -. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/6021

Issue

Vol. 4 No. 13 (2017): SIEICON-2017 (International Conference on Current Research in Engineering)

Section

Articles

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