Research Article
Gender and Age Estimation from Human Faces based on Deep Learning Techniques
@INPROCEEDINGS{10.4108/eai.28-4-2025.2358111, author={A. Lizy Antony and P. Pavan Kumar Reddy and L. Mani Deepak and Dachepalli Venkat}, title={Gender and Age Estimation from Human Faces based on Deep Learning Techniques}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={gender classification age estimation deep learning cnn-based face analysis facial feature extraction human biometrics}, doi={10.4108/eai.28-4-2025.2358111} }- A. Lizy Antony
P. Pavan Kumar Reddy
L. Mani Deepak
Dachepalli Venkat
Year: 2025
Gender and Age Estimation from Human Faces based on Deep Learning Techniques
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2358111
Abstract
Gender and age estimation from facial images are crucial for applications like security, healthcare, and marketing. Deep learning, especially CNNs and pre-trained models like ImageNet, improves accuracy. This review explores architec- tures, datasets, challenges, and mitigation strategies, highlighting advancements and future directions for robust and fair facial analysis systems.
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