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• W2749405826 abstract "In this paper we proposed a writer adaptation system based on an adaptive fuzzy inference system (AFIS) that can be plug-in for any writer-independent handwriting recognition systems. The AFIS starts with an empty rule set. Subsequently, a supervised incremental learning algorithm is operated. When the user reports a misclassification, rule are added or updated. The proposed learning algorithm is evaluated by the adaptation of a writer-independent recognition system (LipiTk). Moreover, the results using a benchmark database named LaViola prove the efficiency of the proposed system. The error rate reduction varies between 66.32% and 41.05%." @default.
• W2749405826 created "2017-08-31" @default.
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• W2749405826 date "2017-07-01" @default.
• W2749405826 modified "2023-09-25" @default.
• W2749405826 title "Adaptive fuzzy inference system plug-in for writer adaptation" @default.
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• W2749405826 doi "https://doi.org/10.1109/fuzz-ieee.2017.8015561" @default.
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