MATLAB Implementation of Fingerprint Recognition Algorithm Using Gabor Filter
MATLAB program for fingerprint recognition algorithm utilizing Gabor filter-based feature extraction with multi-scale and multi-orientation processing capabilities
Fingerprint Recognition Algorithm Implementation Using MATLAB
With the continuous advancement of biometric technology, it has been discovered that each individual's fingerprint possesses uniqueness and permanence. Consequently, fingerprint recognition technology has evolved into a novel identity authentication method, demonstrating strong potential to replace traditional identification approaches due to its excellent security and reliability. This article systematically outlines the fundamental steps of fingerprint recognition: fingerprint image preprocessing, feature extraction, and fingerprint matching. The preprocessing phase covers normalization, image enhancement, binarization, and thinning techniques, ultimately producing a refined binary image with single-pixel width. Fingerprint matching is then performed by analyzing distinctive endpoint and crossover point features. The complete algorithmic pipeline is implemented through MATLAB programming, providing practical insights into image processing operations and pattern recognition methodologies.
A Comprehensive Fingerprint Recognition Algorithm
A complete fingerprint recognition algorithm covering the entire process from fingerprint acquisition to feature extraction, including code implementation for key components.
Fast Embedded Fingerprint Recognition Algorithm Based on MATLAB
A MATLAB-based fast embedded fingerprint recognition algorithm implementation featuring optimized image processing and pattern matching techniques for real-time identification systems.
Bayesian Theory-Based Fingerprint Recognition Algorithm and Learning Toolkit
A fingerprint recognition algorithm and learning toolkit based on Bayesian theory, implementing fingerprint identification, feature code extraction, and feature pair acquisition using Bayesian probability theory, with detailed code implementation for probabilistic modeling and feature matching