Human Earprint Detection Based on Ant Colony Algorithm

Authors

Keywords:

ACO, Gaussian filter, optimization, IIT Delhi-I, biometric, earprint

Abstract

In recent years, the human ear has grown in importance as a biometric application. This work describes a new technique for sensing the construction of the external human ear that is based on the use of ant colony optimization. During the detection phase, IIT Delhi-I datasets were used to test the system, which contained (120) human ear photographs of the left and right profiles. The proposed method was able to discover and extract the human outer ear structure with very high detection rates (97.6%).

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application of filter with mask size (3×3), (5×5) and (7×7) and sigma values (0.5, 0.8, and 1.5)

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Published

17.02.2023

How to Cite

Abdul-Kader Hussain, S. ., Al-Nayyef, H. ., Al Kindy, B. ., & Amil Qassir, S. . (2023). Human Earprint Detection Based on Ant Colony Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 513–517. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2661

Issue

Vol. 11 No. 2 (2023)

Section

Research Article

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