Human Earprint Detection Based on Ant Colony Algorithm

Autor: Abdul-Kader Hussain, Samira, Al-Nayyef, Huda, Al Kindy, Bassam, Amil Qassir, Samar
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 2 (2023); 513-517
ISSN: 2147-6799
Popis: 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%).
Databáze: OpenAIRE