An enhanced quadratic angular feature extraction model for Arabic handwritten literal amount recognition
Arabic script has a number of characteristics that makes it unique among other scripts. Several feature extraction methods use statistical pixel distribution-based approach to recognize handwritten digits and words. These methods produce features that provide low complexity and high speed in terms o...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/83152/ http://dx.doi.org/10.1007/978-3-319-59427-9_40 |
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