Fingerprint Recognition Program Implementation Using MATLAB

This is a MATLAB-based program designed for fingerprint recognition, particularly suitable for individuals interested in digital image processing. The program achieves high accuracy and reliability by analyzing distinctive features within fingerprint images through sophisticated image processing algorithms. Key implementation details include: preprocessing techniques for image enhancement, feature extraction methods (such as minutiae detection for ridge endings and bifurcations), and pattern matching algorithms for database comparison. The system employs advanced techniques like Gabor filtering for ridge orientation analysis and morphological operations for noise reduction. It supports various applications including security systems, forensic science, and personal identity verification. The program offers flexible parameter configuration options, allowing users to customize thresholds for feature detection, matching sensitivity, and preprocessing parameters according to specific requirements. For those exploring image processing and biometric recognition, this program serves as an excellent educational resource and practical development platform, demonstrating core concepts through implementable code structures and modular algorithm design.