MATLAB Implementation of Fingerprint Recognition System

This article presents a comprehensive MATLAB implementation of fingerprint recognition technology. Fingerprint recognition represents a prominent biometric identification method that authenticates individuals by analyzing and comparing fingerprint patterns. Widely adopted in security systems and personal identity verification applications, this technology employs sophisticated image processing algorithms. In this project, I demonstrate a complete fingerprint recognition pipeline using MATLAB programming, incorporating key stages such as image preprocessing, feature extraction, and pattern matching. The implementation includes detailed code explanations for critical functions including image enhancement using histogram equalization, ridge orientation estimation, minutiae point detection, and matching algorithms based on characteristic points. Supporting images illustrate the algorithmic workflow from raw fingerprint input to final recognition results, showcasing intermediate processing stages like binarization, thinning, and minutiae extraction. Through this practical implementation, readers will gain understanding of fingerprint recognition fundamentals, algorithm design considerations, and practical application techniques that can be adapted for similar biometric projects. This resource aims to assist researchers and developers interested in biometric authentication systems and digital image processing applications.