paper

Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters

arXiv:2404.10476

Abstract

Haar-like filters are renowned for their simplicity, speed, and accuracy in various computer vision tasks. This paper proposes a novel algorithm to identify optimal fully dispersed Haar-like filters for enhanced facial feature extraction and recognation. Unlike traditional Haar-like filters, these novel filters allow pixels to move freely within images, enabling more effictive capture of intricate local features...

The idea of the manuscript is basically incorrect

Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters · wovepaper