Human hand recognition system

Nidhi Sharma; M. S. Prasad

doi:10.1117/12.280618

22 July 1997 Human hand recognition system

Nidhi Sharma, M. S. Prasad

Proceedings Volume 3074, Visual Information Processing VI; (1997) https://doi.org/10.1117/12.280618
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Human hand recognition is a practical problem in pattern recognition for restricted access environment. The methodology of shape analysis, a conventional method for object identification, has been studied in this paper for human hand recognition. The idea behind the chosen approach is to consider human hand as an object of definite rigid shape, extract its boundary and shape parameters as recognition features. Shape analysis requires the extraction of object features, often normalized and invariant to various geometric change such as translation, rotation and scale. In the human hand recognition system three different views at different orientations of the same hand were taken with the help of PULNIX CCD camera. The digital image of hand has been analyzed using Fourier descriptors and various moment invariants.

Citation Download Citation

Nidhi Sharma and M. S. Prasad "Human hand recognition system", Proc. SPIE 3074, Visual Information Processing VI, (22 July 1997); https://doi.org/10.1117/12.280618

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