Explore MATLAB source code curated for "指纹识别程序" with clean implementations, documentation, and examples.
A fingerprint recognition program implemented in MATLAB that performs Gabor filtering, binarization, erosion and other preprocessing operations on fingerprint images, utilizing SVM algorithms to determine whether new fingerprint images exist in the original database. Suitable for demonstrating small-scale fingerprint identification systems with detailed implementation approaches for image processing and machine learning components.
Application Background: A texture analysis-based fingerprint recognition program developed using MATLAB. The program interface appears as follows: Input images must be 256x256 pixels, 8-bit grayscale, 500dpi fingerprints. If these specifications are not met, certain function parameters require modification. To execute the program in MATLAB, set the current directory as the working directory and type "fpextractdemo" in the command window. Key Technologies: Fingerprint image field computations (intensity field, gradient field, orientation field, frequency field), image segmentation, histogram equalization, image convergence, image smoothing, and image enhancement.