Arabic handwriting recognition using feature matching

摘要

An Arabic handwriting recognition system takes an input from a stylus in the form of an ordered sequence of data. The sequence of data is then processed to eliminate any noise associated with data, and subsequently strokes (or directed line segments) are extracted from the sequence of data. More analysis of the strokes is performed to transform the input data into a features vector. Next, the features vector is matched against the features of all Arabic letters using fuzzy matching and dynamic programming techniques. During this matching process, the input word is segmented into the sequence of characters that maximized the matching score. In addition, external objects (such as: single dots, double dots, triple dots, hamzas, or maddas) that are above and below Arabic letters are detected.