Novel Moment Features Extraction for Recognizing Handwritten Arabic Letters
نویسندگان
چکیده
منابع مشابه
Novel Moment Features Extraction for Recognizing Handwritten Arabic Letters
Problem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a nove...
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The Arabic letters are used in many written languages. However, little work has been done to analyze and characterize handwritten Arabic letters comprehensively. Such characterization is important for the active research in the computer processing of Arabic written scripts. We extract carefully selected features from a large database of handwritten Arabic letters, from the letter’s secondary co...
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Recognition of characters greatly depends upon the features used. Several features of the handwritten Arabic characters are selected and discussed. An off-line recognition system based on the selected features was built. The system was trained and tested with realistic samples of handwritten Arabic characters. Evaluation of the importance and accuracy of the selected features is made. The recog...
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Artificial neural networks have the abilities to learn by example and are capable of solving problems that are hard to solve using ordinary rule-based programming. They have many design parameters that affect their performance such as the number and sizes of the hidden layers. Large sizes are slow and small sizes are generally not accurate. Tuning the neural network size is a hard task because ...
متن کاملAn Experimental Approach for Recognizing Handwritten Arabic Words*
This paper discusses the process of implementing an off-line system for recognizing handwritten Arabic words. In order to recognize a word, its character decomposition should be known. This is done through segmentation. In our model, Arabic character recognition goes through a preprocessing stage followed by a recognition stage. Each character of the word is investigated in order to determine i...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2009
ISSN: 1549-3636
DOI: 10.3844/jcs.2009.226.232