This paper reports some recent advancements in the field of use of dynamic programming both in handwriting recognition, and signature verification, carried out in the last years at the University of Bari. The first part of the paper describes the main advancements in the field of zoning, that is an one of the most effective techniques for feature extraction, and reports the most recent approaches for zoning design, based on genetic algorithms, well-suited zoning representation techniques and membership functions. In the second part of the paper, the problem of static signature verification is addressed and some new advancements based on stability analysis in static signatures are presented.

Advancements in Handwriting Recognition

IMPEDOVO, Sebastiano;PIRLO, Giuseppe;IMPEDOVO, DONATO;
2010

Abstract

This paper reports some recent advancements in the field of use of dynamic programming both in handwriting recognition, and signature verification, carried out in the last years at the University of Bari. The first part of the paper describes the main advancements in the field of zoning, that is an one of the most effective techniques for feature extraction, and reports the most recent approaches for zoning design, based on genetic algorithms, well-suited zoning representation techniques and membership functions. In the second part of the paper, the problem of static signature verification is addressed and some new advancements based on stability analysis in static signatures are presented.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/137104
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