| dc.contributor.advisor | Skretting, Karl | |
| dc.contributor.advisor | Stråbø, Kristian | |
| dc.contributor.author | Fadul, Fadul Elwalid | |
| dc.contributor.author | Lindland, Christoffer | |
| dc.date.accessioned | 2023-07-04T15:53:14Z | |
| dc.date.available | 2023-07-04T15:53:14Z | |
| dc.date.issued | 2023 | |
| dc.identifier | no.uis:inspera:130505068:65035234 | |
| dc.identifier.uri | https://hdl.handle.net/11250/3075673 | |
| dc.description.abstract | The purpose of this thesis is to develop a semi-automated interface that uses Optical
Character Recognition (OCR) routines to identify text-based information from a large
volume of digitized drawings associated with the oil and gas industry. The identified
information is presented in an appropriate interface for any necessary manual modification, with the target of improving the efficiency of maintaining large amounts of older
documents. The thesis outlines the design of the interface and the implementation of
Tesseract OCR engine, in combination with tailor-made functions and classes that leverage OpenCV to enhance the recognition process | |
| dc.description.abstract | The purpose of this thesis is to develop a semi-automated interface that uses Optical
Character Recognition (OCR) routines to identify text-based information from a large
volume of digitized drawings associated with the oil and gas industry. The identified
information is presented in an appropriate interface for any necessary manual modification, with the target of improving the efficiency of maintaining large amounts of older
documents. The thesis outlines the design of the interface and the implementation of
Tesseract OCR engine, in combination with tailor-made functions and classes that leverage OpenCV to enhance the recognition process | |
| dc.language | eng | |
| dc.publisher | uis | |
| dc.title | Interface Development for Digitization of Documents Using OCR | |
| dc.type | Bachelor thesis | |
