Susanto, Ronny and Putri, Farica Perdana and Yustinus, Widya Wiratama (2018) Skew detection based on vertical projection in latin character recognition of text document image. International Journal of Engineering & Technology, 7 (4). ISSN 2227-524X
Full text not available from this repository.Abstract
The accuracy of Optical Character Recognition is deeply affected by the skew of the image. Skew detection & correction is one of the steps in OCR preprocessing to detect and correct the skew of document image. This research measures the effect of Combined Vertical Projection skew detection method to the accuracy of OCR. Accuracy of OCR is measured in Character Error Rate, Word Error Rate, and Word Error Rate (Order Independent). This research also measures the computational time needed in Combined Vertical Projection with different iteration. The experiment of Combined Vertical Projection is conducted by using iteration 0.5, 1, and 2 with rotation angle within -10 until 10 degrees. The experiment results show that the use of Combined Vertical Projection could lower the Character Error Rate, Word Error Rate, and Word Error Rate (Order Independent) up to 35.53, 34.51, and 32.74 percent, respectively. Using higher iteration value could lower the computational time but also decrease the accuracy of OCR.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Oct 2021 07:49 |
| Last Modified: | 08 Oct 2021 07:49 |
| URI: | https://kc.umn.ac.id/id/eprint/18593 |
Actions (login required)
 |
View Item |
