Optical character recognition
| dc.citation.epage | 100 | |
| dc.citation.spage | 90 | |
| dc.contributor.author | Zdebska Tetyana | |
| dc.contributor.author | Andrunyk Vasyl | |
| dc.contributor.author | Kempnyk Roman | |
| dc.contributor.author | Chyhura Vladyslav | |
| dc.date.accessioned | 2022-11-08T08:42:29Z | |
| dc.date.available | 2022-11-08T08:42:29Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Optical text recognition (OCR) programs are used to recognize text, that is, to translate from a graphic image into a text format. OCR (Optical character recognition) is a mechanical or electronic transfer saved handwritten, typewritten or printed text into a sequence of codes used to represent a text editor. Optical text recognition allows you to: o edit text; o perform search word or phrase; o store it in a more compact form; o show or print material without losing quality; o analyze information; o apply electronic translation, formatting or translation to text Optical text recognition is a research problem in the areas of pattern recognition, artificial intelligence and computer vision. Optical text recognition systems require calibration to work with a specific font ; in earlier versions, programming required the image of each character, the program could only work with one font at a time. Currently, the most common so-called "intelligent" systems that recognize most fonts with a high degree of accuracy. Some optical text recognition systems are capable of restoring the original text formatting, including images, columns, and other non-text components. | |
| dc.identifier.citation | Optical character recognition / Tetyana Zdebska, Vasyl Andrunyk, Roman Kempnyk, Vladyslav Chyhura // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 90–100. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 63 titles. | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/57046 | |
| dc.language.iso | en | |
| dc.publisher | онлайн | |
| dc.title | Optical character recognition | |
| dc.type | Conference Paper |