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Biometrics are getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry can be used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. It could also be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. This system presents verification results based on hand measurements of 20 individuals. The verification process has been tested on a size of 320 × 240 image, and result of the verification process have hit rate of 95% and FAR of 0.020.

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Abstract
1. Introduction
2. Image Acquisition System
3. Extraction of Hand-Geometry Feature Data
4. Hand-Geometry Verification Algorithm
5. Experiments and Results of the PC-based Hand-Geometry Verification System
6. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2009-028-015037262