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Use of wavelet transforms and neural networks for identifying individuals through extracted features of the palm hand

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2 Author(s)
Vieira, V.S. ; Dept. Electr. Eng., Fed. Inst. of Tecnology of Espirito Santo, Vitoria, Brazil ; Salomão, J.M.

Nowadays the biometry is one of the most reliable methods to identify a person. Therefore, identification methods as passwords have been substituted by biologics characteristics due the high level of security. So, in this paper we propose the use of the palm hand as a biometric characteristic and the use of the wavelet transform to extract the principal features of the palm. We also had used a pre-classification through principal lines to make the identification faster. The final identification was made by a neural network feedforward.

Published in:

Biosignals and Biorobotics Conference (BRC), 2011 ISSNIP

Date of Conference:

6-8 Jan. 2011