Liliane Peters

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teristics of the active devices in analog circuit, the fuzzy elements can be implemented in very simple structures. This brings a reduction in the circuit complexity which implies better speed performance and reduced chip area consumption. Until now the main drawback of the analog approaches has been their poor flexibility. Some programmable analog fuzzy(More)
Recognition methods use different features to assign a pattern to a prototype class. The recognition accuracy strongly depends on the selected features. In this paper we present a novel fuzzy methodology to extract appropriate fuzzy features from the handwriting data. From these meaningful features a set of linguistic rules are derived which in turn(More)
This paper presents a new approach for the automatic generation of fuzzy rule bases for pattern recognition. The general idea of the approach is to use and enhance the fuzzy c-means clustering algorithm. The rule base is generated through an iterative feature clustering approach. The automatic extraction of features is repeated until the generated rule base(More)
In this paper we present a new fuzzy language } FOHDEL } for the syntactic description of handwritten symbols. The presented language incorporates the fuzzy logic techniques to describe the syntactic relations of the semantic features extracted from a symbol pattern. A FOHDEL rule-base represents the compact feature information extracted from a small number(More)
The handwritten characters differ not only from person to person but also from the state of mood of the same person. Nevertheless humans are trained to extract the specific features characterizing a symbol. We introduced fuzziness in the definition of the proposed pattern features, which provides the enhancement to the handwritten character information to(More)