학술논문
Hybrid Soft Computing Based Approach for Ageing in Face Recognition
Document Type
Conference
Author
Source
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022 2nd International Conference on. :380-383 Apr, 2022
Subject
Language
Abstract
Soft Computing is a set of techniques for addressing special class of complex problems which involve the use of computationally intelligent systems. The fusion of Deep Learning and Soft Computing tools like Neural Networks has shown a promising road ahead for computationally intensive problems, giving rise to algorithms and solutions with high efficiency and accuracy. Application of this fusion technique considerably improves the accuracy of recognizing faces in a facial recognition pipeline. Our hybrid model comprising of CNN & LSTM utilizes DCN'S which work on the concept of optimization of the embedding's of the face itself. Our proposed system has been tested on the CACD dataset and gives very promising & encouraging results