Abstract
The present work deals with the problem of identifying individuals from a database, and in so doing utilizing measurements taken from handpalm images. The techniques utilized for performing identifications are mainly those of artificial neural networks, which work upon the data through the use of two modular neural networks, one which is concerned solely with the handpalm image, another with the measurements taken thereof. Outputs from these two networks are integrated through a fuzzy inference system. Subsequent work will comprise improvement of the obtained results.
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Sánchez, J.L., Melin, P. (2013). A Hand Geometry Biometric Identification System Utilizing Modular Neural Networks with Fuzzy Integration. In: Castillo, O., Melin, P., Kacprzyk, J. (eds) Recent Advances on Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33021-6_15
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DOI: https://doi.org/10.1007/978-3-642-33021-6_15
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