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Browsing by Author "Azzoug, Soraya"

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    Feature Selection using F-score Method for Offline Arabic Handwritten Fragment Identification
    (University of Eloued جامعة الوادي, 2022-01-24) Azzoug, Soraya; Chibani, Youcef; Djoudjai, Mohamed Anis
    Among the various means of document authentication, handwriting fragments represent one of the challenging tasks for automatic handwritten writer identification. Usually, the writer is represented by a set of features extracted for each handwritten fragment. However, feature components might be irrelevant due to their redundancy, affecting the pertinence of the feature vector. Hence, this paper proposes a feature-selection strategy based on a hybrid F-score method, performed genuinely for multi-class classification. The F-score is used conjointly to a classifier based-distance. According to a statistical analysis performed on F-score distribution during the training step, the number of pertinent feature components is deduced from the highest F-score value. The experimental evaluation performed on the well-known IFN/ENIT handwritten fragment dataset shows an improvement of the identification rate of 94.20% while reducing the size of the feature vector of 54%.

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