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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gatos, B. Papamarkos, N. |
| Copyright Year | 1990 |
| Description | Author affiliation: Dept. of Electr. Eng., Democritus Univ. of Thrace, Xanthi, Greece (Gatos, B.; Papamarkos, N.) |
| Abstract | This paper proposes a new method for optical character recognition which is based on curvature features. The curvature features are obtained according to the slopes of the character edge pixels. Through this technique powerful features are extracted for each character which allow us to have character recognition independent of font type and size. The proposed method can also recognize deformed fonts with high accurate results and low error rates. |
| Starting Page | 205 |
| Ending Page | 210 |
| File Size | 514932 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780373693 |
| DOI | 10.1109/ISIE.1995.496627 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-07-10 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical character recognition software Character recognition Feature extraction Filtering Circuit analysis Laboratories Informatics Error analysis Office automation Humans |
| Content Type | Text |
| Resource Type | Article |
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