Characterization of palmprints by wavelet signatures via directional context modeling

@article{Zhang2004CharacterizationOP,
  title={Characterization of palmprints by wavelet signatures via directional context modeling},
  author={Lei Zhang and David Zhang},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2004},
  volume={34},
  pages={1335-1347}
}
The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Current palmprint-based systems are more user friendly, more cost effective, and require fewer data signatures than traditional fingerprint-based identification systems. The principal lines and wrinkles captured in a low-resolution palmprint image provide more than enough information to uniquely identify an individual. This paper presents a palmprint identification scheme… CONTINUE READING
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