Hand shape recognition

@article{Lay2000HandSR,
  title={Hand shape recognition},
  author={Yun-Long Lay},
  journal={Optics and Laser Technology},
  year={2000},
  volume={32},
  pages={1-5}
}
  • Y. Lay
  • Published 1 February 2000
  • Computer Science
  • Optics and Laser Technology
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ir.lib.ncut.edu.tw
32 Citations
Highly Influential Citations
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12
Methods Citations
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32 Citations

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Citation Type

Person authentication based on hand shape
TLDR
It is shown that, at least for groups of one hundred subjects, hand-based recognition becomes a viable and secure access control scheme.
Person authentication based on hand shape
TLDR
It is shown that, at least for groups of one hundred subjects, hand-based recognition becomes a viable and secure access control scheme.
VISUAL IMAGE BASED HAND RECOGNITIONS
TLDR
This paper investigates a new approach to achieve performance improvement for hand area geometry systems by recognition of area of finger and hand and also the relative area betweenfinger and hand which overcomes the conventional hand geometry based personal verification systems.
Hand shape and hand gesture recognition
  • R. Choras
  • Computer Science
    2009 IEEE Symposium on Industrial Electronics & Applications
  • 2009
TLDR
A method for the recognition of hand gestures using geometrical and Radon transform (RT) features is proposed.
Hand Shape Geometry and Palmprint Features for the Personal Identification
  • R. Choras, M. Choraś
  • Computer Science
    Sixth International Conference on Intelligent Systems Design and Applications
  • 2006
TLDR
Hand geometry based biometric verification has proven to be the most suitable and acceptable biometrics trait for medium and low security applications.
Identity Verification Utilizing Finger Surface Features
TLDR
The results of the experiments indicate that this approach performs well for a first-of-its-kind biometric technique, which utilized finger surface features as a biometric identifier.
Basic Principles and Trends in Hand Geometry and Hand Shape Biometrics
TLDR
Mentioned features make hand geometry an ideal candidate for research and development of new acquisition, preprocessing and verification techniques, i.e. personal authentication.
Peg-Free Hand Shape Verification Using High Order Zernike Moments
TLDR
This work proposes using high-order Zernike moments to represent hand geometry, avoiding the more difficult and prone to errors process of hand-landmark extraction, and employs an efficient algorithm that uses arbitrary precision arithmetic, a look-up table, and avoids recomputing the same terms multiple times.
Trends in Hand Geometry Biometrics
TLDR
Researchers in the field of biometrics found that human hand contains some characteristics that can be used for personal identification, including hand geometry and hand shape, which makes them suitable for development of various acquisition and authentication methods.
Combining 2D and 3D hand geometry features for biometric verification
TLDR
This paper investigates a new approach to achieve performance improvement for hand geometry systems by simultaneously acquiring three dimensional features from the presented hands by utilizing a laser based 3D digitizer and two new representations that characterize the local features on the finger surface are extracted from the acquired range images.
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