Face age verification for access control application

Sahar Dammak; Hazar Mliki; Emna Fendri

doi:10.1117/12.2622541

4 March 2022 Face age verification for access control application

Sahar Dammak, Hazar Mliki, Emna Fendri

Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120840L (2022) https://doi.org/10.1117/12.2622541
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

The age verification is an important task in various context of applications like access control in spaces in hotels which are prohibited for children and teenagers, in dangerous spaces for children and in public area during a spread of virus among others. In fact, the age verification consists in classifying the face images into different age groups while dealing with the face appearance variation affected by occlusion, pose variation, low resolution, scale variation and illumination variation. This work introduced an access control application based on the age verification in an uncontrolled environment. In fact, we proposed a new two-level age classification method based on deep learning in order to classify the face images into eight age groups. Actually, the two-level classification strategy help reducing the confusion between the inter and intra age groups. Our experiments were performed on the multi-constrained Adience benchmark. The obtained results illustrate the effectiveness and robustness of the proposed age classification method in an uncontrolled environment.

Citation Download Citation

Sahar Dammak, Hazar Mliki, and Emna Fendri "Face age verification for access control application", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120840L (4 March 2022); https://doi.org/10.1117/12.2622541

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available