MATLAB Face Recognition Attendance System Using PCA Algorithm

A PCA-based face recognition attendance system implemented on MATLAB platform. This project detects faces from life photos, segments facial regions, applies PCA dimensionality reduction, and matches against a database to record attendance timestamps and calculate monthly attendance rates. The system features GUI interface with data management and payroll statistics functionality, with potential for secondary development including stranger detection and alarm features.

MATLAB 393 views Tagged

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Pattern Recognition MATLAB Toolbox with Comprehensive Algorithm Implementation

Pattern Recognition MATLAB Toolbox featuring key algorithms including SVM, ICA, PCA, Neural Networks, and more, with practical code implementation examples and technical reference value

MATLAB 201 views Tagged

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Hand Gesture Recognition Using Principal Component Analysis (PCA)

Implementation of hand gesture recognition system using PCA for feature extraction and classification

MATLAB 184 views Tagged

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PCA-based Detection for TE Data Including SPE Statistic Calculation

MATLAB implementation of Principal Component Analysis (PCA) for TE data detection, featuring SPE statistic computation along with SPE and T-squared control limit calculations using built-in statistical functions and matrix operations.

MATLAB 206 views Tagged

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PCA+Fisher Face Recognition with Implementation Details

PCA+Fisher face recognition method tested on ORL face database with promising results, including dimensionality reduction and linear discriminant analysis implementation

MATLAB 222 views Tagged

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Face Feature Extraction Using PCA with SVM-Based Multi-Class Recognition

This project implements Principal Component Analysis (PCA) for facial feature extraction and employs Support Vector Machine (SVM) multi-class classifier for face recognition, complete with an intuitive user interface for image input and processing.

MATLAB 204 views Tagged

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MATLAB Implementation Divided into Two Parts: PCA with Rough Sets and Fuzzy Neural Networks

This program consists of two main implementations: Part 1 combines PCA with Rough Sets and Fuzzy Neural Networks for face recognition, while Part 2 integrates PCA, LDA, Rough Sets and Fuzzy Neural Networks for pattern recognition. The implementation includes ORL face database handling, experimental results, and demonstrates practical approaches for dimensionality reduction and classification algorithms.

MATLAB 202 views Tagged

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PCA and SVM Implementation in MATLAB for Image Dimensionality Reduction and Classification

Implementation of PCA and SVM for image dimensionality reduction and classification, achieving promising results on the Yale face database with detailed code workflow and algorithm integration

MATLAB 199 views Tagged

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Face Recognition System Based on MATLAB R2008

A face recognition system developed using MATLAB R2008 that implements two distinct algorithms: PCA+Adaboost and PCA+SVM, utilizing the ORL face database. The system achieves 84% recognition accuracy by processing a single facial image to identify individuals, demonstrating efficient feature extraction and classification through principal component analysis combined with ensemble learning and support vector machine methods.

MATLAB 205 views Tagged

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Face Recognition using PCA, LDA, and BP Neural Network with GUI Implementation

A comprehensive face recognition system integrating Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Backpropagation Neural Network, featuring a functional GUI interface successfully implemented in MATLAB 8.0. Ideal for academic projects and graduation theses with complete code structure and modular implementation.

MATLAB 247 views Tagged

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