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)
In this paper we present a new fuzzy online recognition system (FOHRES) for handwritten characters. Our new approach uses the advantages of fuzzy set theory for the classification of handwritten characters at different processing stages. The proposed fuzzy online handwriting description language (FOHDEL) provide a flexible multiwriter environment which is(More)
Ashutosh Malaviya and Liliane Peters GMD German National Research Center for Information Technology Schloß Birlinghoven, 53754 St. Augustin, Germany Abstract: The handwritten characters differ not only from person to person but also from the state of mood of the same person. Nevertheless humans are(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)
In this paper we present three specialized architectures for optical flow computation based on: i) an ASIC in CMOS standard cell technology, ii) a single DSP TMS320C40, and ii) a TMS320C40-based multiprocessor. The pros and cons of each architecture are discussed. keywords: optical flow estimation, ASIC, multi-DSP