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| Feature extraction methods for character recognition-A survey | |
| Øivind Due Trier; Anil K. Jain; Torfinn Taxt | |
| 1996 | |
| Source | Pattern Recognition
 |
| Volume | 29Issue:4Pages:641-662 |
| English Abstract | This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature extraction methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature extraction method for a given application is also discussed. When a few promising feature extraction methods have been identified, they need to be evaluated experimentally to find the best method for the given application. |
| Indexed Type | 其他 |
| Cooperation Status | 其它 |
| Keyword | Feature Extraction Optical Character Recognition Character Representation Invariance Reconstructability |
| Language | 英语 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/1328 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Øivind Due Trier,Anil K. Jain,Torfinn Taxt. Feature extraction methods for character recognition-A survey[J]. Pattern Recognition,1996,29(4):641-662. |
| APA | Øivind Due Trier,Anil K. Jain,&Torfinn Taxt.(1996).Feature extraction methods for character recognition-A survey.Pattern Recognition,29(4),641-662. |
| MLA | Øivind Due Trier,et al."Feature extraction methods for character recognition-A survey".Pattern Recognition 29.4(1996):641-662. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| BJ01135616.pdf（529KB） | 开放获取 | License | Application Full Text | |||
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