MATLAB Implementation for Fingerprint Recognition with Core Point Extraction

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Resource Overview

This MATLAB code performs fingerprint recognition by extracting core points from pre-thinned fingerprint images. The algorithm utilizes maximum entropy of directional changes to accurately locate fingerprint core points with high precision. The implementation includes directional field analysis and entropy-based feature detection.

Detailed Documentation

One approach for fingerprint recognition involves extracting core points from fingerprint images. This method is based on the maximum entropy principle applied to directional changes, where the algorithm analyzes orientation variations within the fingerprint pattern to determine the precise location of the core point. The implementation typically involves calculating the directional field using gradient-based methods (e.g., using MATLAB's gradient or sobel operators), followed by entropy computation across different orientations. Key functions may include orientation field estimation, entropy calculation per block, and peak detection for core point localization. By accurately extracting core points, fingerprint recognition systems can achieve improved matching accuracy and reliability through stable reference point establishment.

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