作者
Adel M Alimi
发表日期
1997/8/18
研讨会论文
Proceedings of the Fourth International Conference on Document Analysis and Recognition
卷号
1
页码范围
382-386
出版商
IEEE
简介
The author describes a system that recognizes on-line Arabic cursive handwriting. In this system, a genetic algorithm is used to select the best combination of characters recognized by a fuzzy neural network. The handwritten words used in this system are modelled by a theory of movement generation. Based on this motor theory, the features extracted from each character are the neuro-physiological and biomechanical parameters of the equation describing the curvilinear velocity of the script. The evolutionary approach proposed permits the recognition of cursive handwriting with a segmentation procedure allowing overlapped strokes having neuro-physiological meaning.
引用总数
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AM Alimi - Proceedings of the Fourth International Conference on …, 1997