Paper Contents
Abstract
Face recognition is the process of identifying an object or a feature in a face. It is used in many applications like defect detection, medical imaging, and security surveillance. As an algorithm with excellent performance, convolutional neural network has been widely used in the field of image processing and achieved good results by relying on its own local receptive fields, weight sharing, pooling, and sparse connections. In order to improve the convergence speed and recognition accuracy of the convolutional neural network algorithm, this project proposes a new convolutional neural network algorithm which is also a part of Artificial Intelligence & Machine Learning. In this project we illustrated how the convolutional neural network algorithm use to identify in the field of image processing.
Copyright
Copyright © 2025 Rakshith kumar v . This is an open access article distributed under the Creative Commons Attribution License.
