LBP-Based Face Recognition Technology

This article introduces Local Binary Pattern (LBP)-based face recognition technology and provides MATLAB-implemented program code for practical application. Face recognition is a biometric technology that identifies and verifies individuals by analyzing and comparing facial features extracted from images. LBP serves as a powerful feature descriptor widely used in image processing and pattern recognition, capable of encoding and extracting local texture information from images. Our MATLAB implementation demonstrates key algorithmic steps including: LBP feature extraction using uniform patterns for dimensionality reduction, histogram computation for texture representation, and distance measurement techniques (such as Chi-square distance) for feature comparison. The code structure includes functions for image preprocessing, LBP operator implementation with circular neighborhoods, and classification algorithms for recognition tasks. This implementation will help you better understand and apply LBP-based face recognition technology through practical programming examples and detailed comments explaining each computational step.