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Inexact graph matching for fingerprint classification

Lumini A., Maio D., Maltoni D.

Machine Graphics and Vision

1999

Vol. 8, No. 2

231-248

In this work we introduce a new structural approach to automatic fingerprint classification. The fingerprint directional image is partitioned into "homogeneous" connected regions according to the fingerprint topology. A relational graph is constructed in order to compactly summarize the fingerprint macro-structure resulting from the partitioning process. An inexact graph matching technique is adopted to compare this graph with a set of prototype graphs which have been a-priori derived starting from a well-known classification scheme.