Rojehan, Nurul Hasya (2022) Optical character recognition (OCR) on images using template-matching and image correlation. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
Optical Character Recognition (OCR) has grown in popularity as a result of its widespread use in converting photos into editable machine-coded text in the multimedia and digital fields. Optical Character Recognition (OCR) is a method for extracting content from a digital image by increasing its quality. Pre-processing, Segmentation, Feature Extraction, and Classification are all part of the OCR system. To identify the font and retrieve the text, template matching and correlation were utilised. The goal of this project is to extract text from photos that contain critical information, with the text serving as the output
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Optical character recognition, Photos, Multimedia, Segmentation, Extraction, Extract, Correlation |
| Divisions: | Library > Final Year Project > FKEKK |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 20 Jul 2023 08:34 |
| Last Modified: | 20 Jul 2023 08:34 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/27493 |
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