Explore MATLAB source code curated for "识别" with clean implementations, documentation, and examples.
For a given face database, this process first localizes facial regions in each image, then extracts eigenfaces using K-L transformation, and finally identifies an arbitrary face image by matching it against the existing database through similarity calculations.
Implementation of image matching and recognition through statistical features extracted from wavelet-transformed images, involving frequency domain analysis and feature comparison algorithms.
A comprehensive MATLAB code solution for face detection and recognition, originally sourced from an international website, featuring advanced algorithms and practical implementation approaches.
A high-performance MATLAB face detection program designed for face tracking and recognition applications, featuring robust algorithms with included test images for validation purposes.
This program processes license plate images and directly outputs segmented and recognized license plate characters. It features ready-to-run implementation with sample license plate images included, achieving 100% immediate execution capability.
This algorithm focuses specifically on color facial recognition, utilizing MATLAB's facial detection algorithms combined with facial image segmentation across different color spaces. Developers can reference this implementation which demonstrates key functions like color space conversion (RGB to HSV/YCbCr) and skin tone modeling for improved detection accuracy.
Digital speech recognition for numbers 0-9 with MATLAB implementation featuring both training and recognition capabilities
Speaker Recognition System % Extract all files in the current MATLAB directory, then type "speakerrecognition" % in the MATLAB command window. A simple and intuitive graphical user interface will appear. % % GUI Functionalities: % % ONE-TO-ONE Speaker Recognition - Verification % Select two audio files. The system will determine whether the voice characteristics belong % to the same person or not (one-to-one speaker recognition, also known as verification). % Audio inputs can be loaded from disk or recorded using a microphone. % % ADD A NEW SOUND TO DATABASE % Select an audio file to add to the database with a unique positive integer ID for speaker association.
MATLAB code for recognizing digital modulation techniques including phase-based and frequency-based methods, featuring implementation details and signal processing algorithms.
Source code implementation for signal modulation recognition using neural networks! Available for download with enhanced technical documentation.