Description: A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the
shape of the fingerprint image). Wavelets are good at local analysis and so they help to extract local
features (minutiae) from a fingerprint. Therefore, this hybrid approach extracts most significant features
from the fingerprint images and achieve better verification rate. Different types of wavelets are used for the
study but the result shows that Symmlet orthonormal wavelet of order 8 gives best verification rate. Platform: |
Size: 386048 |
Author:samira |
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Description: 伪zernike矩变换，计算图像的伪Zernike矩并作为特征。-Pseudo zernike moment transformation, the image of the pseudo-Zernike moments calculated as features. Platform: |
Size: 1024 |
Author:王春鹏 |
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Description: 计算“高位平面图像”的伪Zernike矩（低 6阶），并作为特征。-Computing " high dimensional images," the pseudo-Zernike moments (low order 6), and as a feature. Platform: |
Size: 501760 |
Author:王春鹏 |
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Search - matlab Pseudo-Zernike Moments