Sciweavers

AIIA
2001
Springer

A New Machine Learning Approach to Fingerprint Classification

14 years 2 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are trained on a structured representation of the fingerprint image. They are also used to extract a set of distributed features which can be integrated in the SVMs. SVMs are combined with a new error correcting code scheme which, unlike previous systems, can also exploit information contained in ambiguous fingerprint images. Experimental results indicate the benefit of integrating global and structured representations and suggest that SVMs are a promising approach for fingerprint classification.
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2001
Where AIIA
Authors Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
Comments (0)