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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benjelil, M. Mullot, R. Alimi, A.M. |
| Copyright Year | 2012 |
| Abstract | Arabic and Latin language and script identification in machine printed and handwritten types present several difficulties because the Arabic (machine printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper an accurate and suitable designed system for language and script identification at word level which is based on steerable pyramid transform. The features extracted from pyramid sub bands serve to classify the scripts on only one script among the scripts to identify. The encouraging and promising results obtained are presented in this research paper. |
| Starting Page | 716 |
| Ending Page | 721 |
| File Size | 487861 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467322621 |
| DOI | 10.1109/ICFHR.2012.226 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-18 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Band pass filters Feature extraction Transforms Image decomposition Maximum likelihood detection Nonlinear filters Standards feature extraction script identification steerable pyramid decomposition |
| Content Type | Text |
| Resource Type | Article |
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