Explore MATLAB source code curated for "指纹特征提取" with clean implementations, documentation, and examples.
In fingerprint feature extraction, image segmentation is performed by combining directional patterns with local grayscale variance, followed by threshold segmentation to eliminate edge effects and achieve optimal segmentation results. This method leverages orientation estimation and statistical texture analysis for improved feature localization.
A MATLAB-based fingerprint feature extraction program that is executable and highly beneficial for beginners, providing practical insights into fingerprint processing algorithms.
A practical implementation example of fingerprint feature extraction algorithm developed in MATLAB with complete code demonstrations and technical explanations
FPEXTRACTDEMO Fingerprint Feature Extraction Demo - A comprehensive fingerprint feature extraction program incorporating all standard algorithms. Options include: Centralize (image binarization with centroid calculation), Crop (image trimming), Sectorize (sector visualization), Normalize (input image normalization), Gabor filters (filter visualization), Convolute (convolution computation between input image and Gabor filters), Features (feature visualization), FingerCode (database integration of fingerprint data), Check (fingerprint matching verification).