MATLAB-Based Fingerprint Recognition System
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Resource Overview
A MATLAB-based fingerprint recognition system utilizing minutiae point comparison methodology, requiring input images to be 256×256 pixels, 8-bit grayscale values, and 500 DPI fingerprint images.
Detailed Documentation
This is a fingerprint recognition system developed using MATLAB. The system employs a minutiae point comparison approach for fingerprint identification, which involves extracting and matching distinctive ridge characteristics such as endpoints, bifurcations, and ridge crossings using feature detection algorithms. When utilizing this system, input images must meet specific technical specifications: 256×256 pixel dimensions, 8-bit grayscale values, and 500 DPI resolution. The implementation likely includes preprocessing steps like image enhancement, binarization, and thinning operations to prepare the fingerprint image for accurate minutiae extraction. Key MATLAB functions involved may include image processing toolbox functions for filtering, edge detection, and morphological operations, followed by custom algorithms for minutiae matching and similarity scoring.
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