Human Earprint Detection Based on Ant Colony Algorithm



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


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)




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



Research Article