Recognition of cursive Arabic handwritten text using embedded training based on HMMs
In this paper we present a system for offline recognition cursive Arabic handwritten text based on Hidden Markov Models (HMMs). The system is analytical without explicit segmentation used embedded training to perform and enhance the character models. Extraction features preceded by baseline estimati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-09-01
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| Series: | Journal of Electrical Systems and Information Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2314717217300156 |