Corpus ID: 212453178

Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network

  title={Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network},
  author={Mohanad Abukmeil and Hatem Elaydi and Mohammed Alhanjouri},
Palmprint recognition has emerged as a substantial biometric based personal identification. Tow types of biometrics palmprint feature. high resolution feature that includes: minutia points, ridges and singular points that could be extracted for forensic applications. Moreover, low resolution feature such as wrinkles and principal lines which could be extracted for commercial applications. This paper uses 700nm spectral band PolyU hyperspectral palmprint database. Multiscale image transform… CONTINUE READING

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  • 2,129
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