MATLAB Implementation for Face Recognition with Demographic Feature Extraction

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Resource Overview

Face recognition system implementing gender and age feature extraction using MATLAB, with Support Vector Machine (SVM) classification for enhanced recognition accuracy

Detailed Documentation

In the face recognition implementation process, we utilize advanced computer vision techniques to extract gender-specific features (distinguishing male and female characteristics) and age-related attributes from facial images. Our MATLAB implementation employs feature extraction algorithms that analyze facial geometry, texture patterns, and demographic indicators. The system incorporates Support Vector Machine (SVM) methodology for classification, which enhances recognition accuracy by constructing optimal hyperplanes in high-dimensional feature space. Through these implemented methods, our solution achieves more effective face recognition while obtaining detailed demographic information. Key MATLAB functions used include face detection algorithms, feature extraction routines from the Computer Vision Toolbox, and SVM implementation through the Statistics and Machine Learning Toolbox for robust pattern classification.

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