Facial Recognition Unlocking Potential Facing Challenges in Face and Gender Identification-Reference-Cited by-同舟云学术

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Facial Recognition Unlocking Potential Facing Challenges in Face and Gender Identification

Published:2024-05-09 Issue: Volume:2 Page:125-130
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
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Author:

Verma Deepika¹,Dhanda Kamal¹,Kumar Munish²,Gulhane Monali³

Affiliation:

1. School of Engg. & Technology, Om Sterling Global University,Department of Computer Science and Engineering,Hisar,India

2. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,India

3. Symbiosis, Institute of Technology (SIT) Nagpur, Symbiosis International (Deemed University) (SIU),Department of CSE,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10592951.pdf?arnumber=10592951

Reference56 articles.

1. GRA_Net: A Deep Learning Model for Classification of Age and Gender From Facial Images

2. Age & Gender Classifier for Edge Computing

3. Gender Recognition for Juvenile Unconstrained Faces Using Gabor-MeanPool-DCT Feature Model and SVM-Kernel Optimization

4. A Structure-Based Human Facial Age Estimation Framework Under a Constrained Condition

5. SAF-BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression

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