MATLAB Source Code for Fingerprint Recognition

Application Background

Fingerprint recognition technology represents one of the most prominent contemporary technologies, with MATLAB's fingerprint information processing capabilities forming a crucial component in this field. The application scope of fingerprint recognition continues to expand across various domains including security, finance, and healthcare, consequently demanding more sophisticated fingerprint processing techniques. MATLAB's processing capabilities have gained widespread recognition and implementation in this domain.

Key Technology

The core of fingerprint recognition technology lies in fingerprint image processing and feature extraction. MATLAB offers mature solutions for fingerprint image processing, including preprocessing operations like enhancement and noise reduction, along with feature extraction methods for minutiae and texture characteristics. The platform provides comprehensive source code implementations of fingerprint recognition algorithms such as Gabor filters and wavelet transforms. These algorithm implementations can be directly utilized or modified and optimized to meet specific application requirements. The code typically includes functions for image enhancement using histogram equalization, ridge orientation estimation, and minutiae detection through morphological operations. MATLAB's extensive toolbox support and algorithm flexibility ensure broad application prospects for fingerprint recognition technology.