Tracking and Extraction of Fingerprint Ridgelines
This process involves tracing and extracting fingerprint ridgelines from pre-thinned fingerprint images using advanced ridge tracking algorithms.
Fingerprint Image Preprocessing and Feature Extraction Algorithms
Based on intrinsic fingerprint patterns, we propose a comprehensive fingerprint image preprocessing and feature extraction algorithm suite. Enhancements include improved ridge frequency calculation algorithms, optimized binary image hole noise removal, and a novel method for filtering pseudo-feature points. Testing conducted on hundreds of fingerprint images of varying quality demonstrates significant effectiveness. Key implementations involve frequency domain analysis for ridge detection and morphological operations for noise reduction. Keywords: fingerprint; preprocessing; feature extraction; algorithm optimization; image quality testing.
Gabor Wavelet Feature Extraction for Palmprint, Face, and Fingerprint Recognition
Feature extraction using Gabor wavelets combined with Support Vector Machine (SVM) classification for palmprint, face, and fingerprint recognition systems.
Feature Extraction Using Gabor Wavelets for Biometric Recognition
A comprehensive MATLAB implementation for image processing using Gabor wavelet feature extraction followed by Support Vector Machine (SVM) classification, applicable to palmprint, face, and fingerprint recognition systems with detailed code implementation strategies.
Fingerprint Core Point Extraction Using Poincare Index Method
Implementation of fingerprint core point detection through Poincare Index algorithm with geometric feature analysis
Gabor Wavelet Feature Extraction for Biometric Recognition: Palmprint, Face, and Fingerprint Applications
Implementing Gabor wavelet feature extraction combined with SVM classifier for biometric recognition systems including palmprint, face, and fingerprint identification, with detailed algorithm workflow and code implementation approach