MATLAB Implementation for Iris Recognition System
MATLAB program for iris recognition implementing iris localization, normalization, encoding, and final matching with image processing algorithms.
Facial Normalization Utilizing Eye Balls in Face Recognition Systems
Facial normalization through eye localization for enhanced recognition accuracy, featuring robust algorithms and practical implementation insights
Implementation of a Variable Step-Size Normalized Least Mean Square Adaptive Filtering Algorithm
This article presents the implementation of a variable step-size normalized least mean square (VSS-NLMS) adaptive filtering algorithm, including core mathematical derivations and computational procedures for autocorrelation matrix estimation and filter coefficient updates.
Implementation of Fingerprint Image Preprocessing Techniques
Fingerprint Image Preprocessing: Normalization and Gabor Enhancement with Algorithm Implementation Details
Multiple Algorithms for Adding Noise to Images
Various algorithms for adding noise to images, including salt-and-pepper noise and Gaussian noise. Since MATLAB's built-in Gaussian noise function has normalization issues that may produce unexpected results, it's generally recommended to implement custom noise addition methods.
Accurate Pupil and Iris Localization Using Least Mean Square Error Method
Advanced iris recognition system featuring pupil localization, outer iris circle detection, and image normalization using LMS algorithm with circle fitting optimization for enhanced accuracy
MATLAB Source Code Program for Retinal Image Normalization
A comprehensive MATLAB source code implementation for retinal image normalization, featuring customizable functions and algorithms for enhanced image processing and analysis workflows.
The Complete Training Process of BP Neural Networks
The comprehensive training procedure of BP neural networks (covering data filtering, smoothing, normalization, network construction, denormalization, and performance visualization) - A proven approach suitable for thesis projects and practical implementations
Image Normalization
Image normalization techniques and implementation methods
Calculating a Normalized Bimodal Gaussian Function with Unit Area
Implementation of a normalized bimodal Gaussian function with unit area integration using mathematical formulation and computational approaches