Improving OCR accuracy for classical critical editions
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
An Iterative Method for Deciding SVM and Single Layer Neural Network Structures
Neural Processing Letters
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Arabic and Latin script identification in printed and handwritten nature present several difficulties because the Arabic (printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper a strategy which is based on three decision levels where each level will have its own features vector and will consist in identifying only one script among the scripts to identify.