Gender and Age Detection with Open CV

Dhramender Verma

Abstract: This research explores a novel approach to realtime gender and age detection using OpenCV, designed to enhance the accuracy of face recognition systems in uncontrolled environments. By incorporating advanced face alignment techniques and illumination normalization, the proposed method effectively addresses challenges associated with variations in lighting and facial expressions. The system demonstrates significant improvements in performance and is suitable for implementation in embedded vision applications, offering a robust solution for age and gender classification in realtime scenarios.

Keywords: Gender detection, Age estimation, OpenCV, Face recognition, Computer vision

How to Cite?: Dhramender Verma, "Gender and Age Detection with Open CV", Volume 13 Issue 8, August 2024, International Journal of Science and Research (IJSR), Pages: 1498-1502, https://www.ijsr.net/getabstract.php?paperid=SR24823111439, DOI: https://dx.doi.org/10.21275/SR24823111439