Self-supervised adaptation for on-line script text recognition
We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised adaptation scheme. The baseline system is based on...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2005-10-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/98 |