The detection of the suitable reduction value of Douglas-Peucker algorithm in online handwritten recognition systems

The typical Online Handwritten Text Recognition System contains four main phases which are: preprocessing, feature extraction, recognition, and post-processing phases. Preprocessing phase aims to reduce or remove imperfections caused during acquisition step. This phase is also used to minimize handwriting variations irrelevant for pattern classification which may exist in the text acquisition. The preprocessing phase has a great influence on subsequent processing, and a real impact on the recognition rate. This phase could include a number of steps like resizing, centering, simplifying, and smoothing the text. This paper presents an experimental study of using a simplification technique which is used in the preprocessing phase in Online Handwritten Text Recognition systems. The proposed system is designed to deal with any type of text. However, the study is limited to deal with acquired digits which will give a deep understanding of using preprocessing steps in this field.