2 papers
cs.CV2025
A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
Basna Mohammed Salih Hasan, Ramadhan J. Mstafa
Gender classification is attractive in a range of applications, including surveillance and monitoring, corporate profiling, and human-computer interaction. Individuals' identities…
cs.CV2025
Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
Basna Mohammed Salih Hasan, Ramadhan J. Mstafa
Gender classification has emerged as a crucial aspect in various fields, including security, human-machine interaction, surveillance, and advertising. Nonetheless, the accuracy of…