Age invariant face recognition based on convolutional neural networks

Jialu Pi

doi:10.1117/12.2643709

9 October 2022 Age invariant face recognition based on convolutional neural networks

Jialu Pi

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224613 (2022) https://doi.org/10.1117/12.2643709
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

Age-invariant face recognition (AIFR) can be used in law enforcement, security, and citizenship verification. Face recognition as age changing is huge and tough task for human. In this paper, the features of faces across ages will be studied and cross-age face recognition will be accomplished, based on the Convolutional Neural Network (CNN) algorithm and other modules. This paper aims to reduce the impact of age on face recognition and modify the model based on previous scholars' research. Open-source datasets will be used, and then a deep learning model will be exploited to find results on the ranking 1 accuracy of about 90%. The results and models comparison will be discussed in the paper.

Citation Download Citation

Jialu Pi "Age invariant face recognition based on convolutional neural networks", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224613 (9 October 2022); https://doi.org/10.1117/12.2643709

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KEYWORDS

Facial recognition systems

Convolutional neural networks

Data modeling

Databases

Detection and tracking algorithms

Neural networks

Machine learning

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