- Title
- Handwriting Recognition using Deep Learning with Effective Data Augmentation Techniques
- Creator
- Brown, Dane L, Lidzhade, Ipfi
- Subject
- To be catalogued
- Date
- 2021
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/465700
- Identifier
- vital:76633
- Identifier
- xlink:href="https://ieeexplore.ieee.org/abstract/document/9519359"
- Description
- Machine learning techniques have been successfully used in deciphering handwritten text. Deep learning has made further improvements in this regard. However, they require substantial amounts of training data. This research aims to improve the effectiveness of classification accuracy in the presence of limited training data on handwriting recognition. The main focus thus involves enabling deep models to converge during training on smaller datasets using data augmentation. This will allow for broader use of these systems across more regions, greater accessibility, and future related systems to be less reliant on the amount of data available. Therefore, the proposed research includes an image processing and machine learning approach to handwriting recognition while generating more sample data in various ways. Applying random cropping as an augmentation technique resulted in higher accuracy than several other augmentation techniques examined in this paper. Some of these techniques performed worse than on unaugmented data.
- Format
- computer, online resource, application/pdf, 1 online resource (8 pages), pdf
- Publisher
- IEEE Xplore
- Language
- English
- Relation
- International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Brown, D. and Lidzhade, I., 2021, August. Handwriting Recognition using Deep Learning with Effective Data Augmentation Techniques. In 2021 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-9). IEEE, International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD) p. 1 2021
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
- Hits: 33
- Visitors: 33
- Downloads: 0
Collections
Brown, Dane A (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Handwriting Recognition using Deep Learning with Effective Data Augmentation Techniques.pdf | 644 KB | Adobe Acrobat PDF | View Details |