Clustering Techniques for Person Authentication from Online Intelligence Data Inspired by Nature

Abstract

Image processing is essential for the success of image-based authentication. Included in multiple ”Multimodal image classification” subheadings. In this research, we will investigate three methods that have been shown to improve the precision of image classification. Pre-processing refers to the subsequent phase of extracting and classifying features. Gaussian filters are used for the pre-processing step, while the PSO algorithm is responsible for the feature extraction. Incorporating categorization algorithms is made possible by employing the ECNN. Finally, we evaluate our proposal by contrasting it with state-of-the-art scientific findings.