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- W3211362144 abstract "This paper suggests the use of contourlet transform for efficient feature extraction of fingerprints for identification purposes. Back propagated neural network is then used as a classifier. Two fingerprints databases are used to test the system. These include fingerprints images with different positions, rotations and scales to test the robustness of the system. Computer simulation results show that the proposed contourlet transform outperforms the classical wavelet method. Where an identification rate of 94.4% was obtained using contourlet transform compare with 87% using wavelet transform for standard FVC2002 database." @default.
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- W3211362144 date "2017-03-01" @default.
- W3211362144 modified "2023-10-17" @default.
- W3211362144 title "Fingerprints Identification Using Contourlet Transform" @default.
- W3211362144 doi "https://doi.org/10.30684/etj.35.3a.14" @default.
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