No abstract

Wireless Sensor Networks (WSNs)

An ad hoc wireless network consists of a set of hosts (mobile nodes)

The finger knuckle based biometric authentication system using the approaches like, Gaussian smoothed high pass, Gaussian smoothed oriented derivative, and also the well known method for surface roughness measurement called the fractal profiles represented by Topothesy and fractal dimension which describe not only the roughness but also the affine self similarity is presented. Daisy descriptor for the representation of texture implemented. The results of fractal parameters along with the refined scores are comparable to those of the compcode and impcompcode.

This paper presents an approach for the personal authentication using rank-level fusion of multispectral palmprints, instead of using multiple biometric modalities and multiple matchers. The rank level fusion involving the non linear combination of hyperbolic tangent functions gives the best recognition rate for the Rank 1 obtained from two types of features, viz., sigmoid and fuzzy. The results of using rank level fusion on the publicly available multispectral palmprint database show the significant improvement in the recognition rate as compared to the individual spectral bands. Recognition rate of 99.4% from sigmoid features and that of 99.2% from fuzzy features based on Rank 1 is the outcome of the hyperbolic tangent nonlinearity.