Handwritten Character Recognition Using Active Semi-supervised Learning
Constructing a handwritten character recognition model is considered challenging partly due to the high variety of handwriting styles and the limited amount of training data. In practice, only a handful of labeled examples from limited number of writers are provided during the training of the model....
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10174/27260 |
| Country: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/27260 |