Bounegta Nadia
Universty of Tahri Mohamed

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

Eyelids, eyelashes detection algorithm and houghtransform method for noise removal in iris recognition Bounegta Nadia; Bassou Abdessalam; Beladgham Mohamed
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp731-735

Abstract

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 iris. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids; eyelashes detection technique and Hough transform method applied on iris image.