Patent
Arabic handwriting recognition using feature matching
TLDR
In this article, an Arabic handwriting recognition system takes an input from a stylus in the form of an ordered sequence of data, and subsequently strokes (or directed line segments) are extracted from the sequence.Abstract:
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.read more
Citations
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Jihad El-Sana,Fadi Biadsy +1 more
TL;DR: In this paper, a method for online character recognition of Arabic text was proposed, which includes receiving handwritten Arabic text from a user in the form of handwriting strokes, sampling the handwriting strokes to acquire a sequence of two dimensional point representations thereof, with associated temporal data, geometrically pre processing and extracting features on the point representations, detecting delayed strokes and word parts in the pre processed point representations.
References
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Proceedings Article
A handwritten Arabic character recognition technique for machine reader
TL;DR: A technique for real-time recognition of unconstrained Arabic characters is presented and can be extended to cursive words after introducing the additional segmentation stage.
Patent
On-line handwritten kanji recognizing device corresponding to free stroke order and continuously writing stroke
TL;DR: In this paper, a handwritten Kanji recognizing device is proposed to determine spatial relative relation between segments by utilizing a coordinate point and the direction of each segment of each stroke of an inputted handwritten KanJi and reconstructs all segments.