Chen et al., 2022 - Google Patents
Recognition of Handwritten English and Digits Using Stroke Features and MLPChen et al., 2022
- Document ID
- 3266003336616172632
- Author
- Chen C
- Huang Z
- Huang K
- Publication year
- Publication venue
- 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
External Links
Snippet
This study aims to develop a handwritten English character recognition model by training a compact multilayer perceptron (MLP) neural network with text strokes. The primary data for model training was stroke features, including stroke orientation and density. Feature …
- 230000001537 neural 0 abstract description 21
Classifications
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
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