Bwrite-code/NSL-Recognition-Model-24-Alphabets

This repository contains code for developing a model to recognize 24 static alphabets of Nigerian Sign Language (NSL) using SVM with Multiple Kernel Learning (MKL). It includes image preprocessing, feature extraction (HOG, LBP, EOH), and model evaluation to enhance communication accessibility for Nigeria’s hearing-impaired community. # NSL-Recognition-Model-24-Alphabets This repository contains code for developing a model to recognize 24 static alphabets of Nigerian Sign Language (NSL) using SVM with Multiple Kernel Learning (MKL). It includes image preprocessing, feature extraction (HOG, LBP, EOH), and model evaluation to enhance communication accessibility for Nigeria’s hearing-impaired community.