Abstract
This paper presents an overview of feature extraction techniques for unconstrained Arabic handwritten word recognition. Choosing a technique for extraction the features considers the most important factor in achieving high recognition rates in word or character recognition. Different techniques were designed to extract the features from the Arabic words. These techniques are presented and discussed in terms of invariant invariance properties.
Original language | English |
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Title of host publication | Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations |
Subtitle of host publication | ITNG 2009 |
Publisher | IEEE |
Pages | 1655-1656 |
Number of pages | 2 |
ISBN (Print) | 978-1-4244-3770-2 |
DOIs | |
Publication status | Published - 2009 |
Event | Sixth International Conference on Information Technology - Las Vegas, United States Duration: 27 Apr 2009 → 29 Apr 2009 |
Conference
Conference | Sixth International Conference on Information Technology |
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Country/Territory | United States |
City | Las Vegas |
Period | 27/04/09 → 29/04/09 |
Keywords
- application software
- character recognition
- discrete cosine transforms
- feature extraction
- testing
- skeleton
- hidden Markov models
- optical character recognition software
- image segmentation