Comparison of activation function for offline handwritten Kanji document detection using convolutional neural network
In an offline kanji handwriting detection and recognition system, the ability of the neural network to correctly recognise each handwritten character within a document tends to be a significant problem. However, the present state-of-the-art neural network adopted for the object detection task settle...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/17284832.v1 |
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