Fingerprint Recognition System
A fundamental MATLAB fingerprint recognition implementation featuring filtering, image enhancement, binarization, and matching algorithms - designed for educational purposes with straightforward code structure.
Explore MATLAB source code curated for "过滤" with clean implementations, documentation, and examples.
A fundamental MATLAB fingerprint recognition implementation featuring filtering, image enhancement, binarization, and matching algorithms - designed for educational purposes with straightforward code structure.
ICA achieves dimensionality reduction and isolates independent neural activations in brain imaging studies. This demonstration compares icaMS, icaML, icaMF, icaMF (positive sources), and PCA algorithms using two fMRI datasets: human scans from Hvidovre University Hospital (Denmark) and monkey scans from the EU-funded MAPAWAMO project.
BACKPROJ employs filtered or unfiltered backprojection algorithms to execute the inverse Radon transform. The filter is designed directly in the frequency domain and multiplied with the FFT of projections. Projections undergo zero-padding to a power of 2 for optimal FFT performance, with implementation requiring careful frequency response design and projection pre-processing.