CNN, DBN for Image Classification
Implementing image recognition using deep learning models
Explore MATLAB source code curated for "识别" with clean implementations, documentation, and examples.
Implementing image recognition using deep learning models
MATLAB-based program for face detection and recognition algorithms with code implementation details
A comprehensive toolbox for Deep Boltzmann Machines designed for image classification and recognition tasks, featuring scalable implementation.
This project implements image segmentation and recognition for ID card processing, including image enhancement, segmentation, and character recognition. The attached report details program functionality with specific focus on handling different Chinese and English font types. The implementation demonstrates practical approaches to document image analysis using MATLAB's image processing toolbox.
This implementation features eigenvalue/eigenvector extraction, training sample processing, and final recognition stages. The program achieves high-performance levels capable of handling classification and regression tasks in pattern recognition domains.
Voice extraction and recognition system implementing fundamental frequency extraction and analysis from speech signals using signal processing techniques
Implementing Freeman chain code for robust image feature extraction to enhance object recognition accuracy
Implementing facial gender recognition through distance classifiers by calculating distances between test samples and training data sets
Face recognition code based on PCA algorithm, implementing eigenface extraction and face identification with mathematical transformation and comparison techniques
Using MATLAB for Face Detection and Recognition with Code Implementation Details