MATLAB Implementation of a Fingerprint Recognition System with Sample Images and Documentation

This advanced fingerprint recognition system comprises several high-quality fingerprint images along with comprehensive English documentation. The system is designed to offer a straightforward yet accurate fingerprint identification solution leveraging MATLAB's digital image processing and biometric algorithms. Key implementation aspects include image preprocessing techniques such as histogram equalization and Gabor filtering for ridge enhancement, followed by feature extraction methods like minutiae detection (ridge endings and bifurcations) and orientation field calculation. The system architecture incorporates template matching algorithms and similarity scoring mechanisms for identification verification. The detailed documentation covers functional specifications including step-by-step operational procedures, parameter configuration for different fingerprint qualities, and troubleshooting guidelines for common scenarios. The codebase demonstrates practical implementation of core computer vision techniques including noise reduction, binarization, thinning operations, and feature vector comparison. Suitable for deployment in diverse environments such as residential access control, office security systems, or mobile authentication applications, this system provides customizable thresholds for False Acceptance Rate (FAR) and False Rejection Rate (FRR) optimization. The implementation includes modular functions for dataset loading, preprocessing pipelines, and performance evaluation metrics to facilitate integration with existing security frameworks.