Fast Fingerprint Recognition Algorithm Using Haar Wavelet Transform
Design and Implementation of a Fast Fingerprint Recognition Algorithm Based on Haar Wavelet Transformation
Explore MATLAB source code curated for "haar小波变换" with clean implementations, documentation, and examples.
Design and Implementation of a Fast Fingerprint Recognition Algorithm Based on Haar Wavelet Transformation
For an input two-dimensional grayscale image, this process first applies the lifting Haar wavelet transform, then compresses the wavelet coefficients using the classic EZW algorithm, and finally reconstructs the original image through inverse transformation. The implementation involves key steps including wavelet decomposition, coefficient quantization, and hierarchical encoding for efficient compression.
Implementation of Haar wavelet transform using second-generation lifting scheme with integer wavelet transformation capabilities, featuring multi-scale decomposition for signal and image processing applications.
MATLAB implementation source code for Haar Wavelet Transform with signal processing applications
Haar wavelet transform can be utilized in image registration to facilitate template interactive matching using wavelet pyramid decomposition, which enables multi-resolution analysis for improved matching efficiency.