A New Machine Learning Approach to Fingerprint Classification

TitleA New Machine Learning Approach to Fingerprint Classification
Publication TypeConference Paper
Year of Publication2001
AuthorsYao, Y, Marcialis, GL, Pontil, M, Frasconi, P, Roli, F
EditorEsposito, F
Conference Name7mo Congresso dell’Associazione Italiana per l’Intelligenza Artificiale
Conference LocationBari (Italy)

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.

Citation Key 162