Analysis of Membership Functions for Voronoi-Based Classification

Authors:
S. Impedovo;R. Modugno;G. Pirlo
Affiliations:
-;-;-
Venue:
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Year:
2010

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Abstract

This paper addresses the problem of membership function selection for zoning-based classification. Different types of membership functions are considered based on abstract-level, ranked-level and measurement-level models and their effectiveness is estimated under different Voronoi-based zoning methods. The experimental tests, carried out in the field of hand-written numeral recognition, show that the best results are obtained when measurement-level models based on exponential models are used as membership functions.