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.
- [LSB] - Least significant bit of matlab watermar
- [featureextraction] - Use MATLAB to achieve one-dimensional ti
- [xiaoboju] - Matlab prepared using wavelet moment, I
- [report112] - Based on the decomposition of the finger
- [sfinge25] - A novel texture-based Automatic Fingerpr
- [DWT2] - DWT
- [Design] - Fingerprint recognition is a biometric t
- [fingerprint] - Can be achieved on the gray image using
- [goog-MDIB] - image process
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A NEW METHOD OF FINGERPRINT AUTHENTICATION.pdf
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