Degraded Document Binarization
| dc.contributor.author | Rani, Usha | |
| dc.contributor.author | Kaur, Amandeep | |
| dc.contributor.author | Joshan, Gurpreet Singh | |
| dc.date.accessioned | 2018-01-08T09:22:02Z | |
| dc.date.accessioned | 2024-08-14T05:05:45Z | |
| dc.date.available | 2018-01-08T09:22:02Z | |
| dc.date.available | 2024-08-14T05:05:45Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Document image binarization is first and very important step of Optical Character Recognition system. Binarization converts the document image into bi-level form.There exists many Document binarization techniques in which we have mainly one or two parameters. Output completely depends upon the values of these user defined parameters. One such parameter is window size in case of sliding window binarization techniques like Niblack;s, Bernsen's, Nick, Sauvola etc. In this proposed work we have tried to modify Sauvola's method is state of art | en_US |
| dc.identifier.citation | Rani, Usha., Kaur, Amandeep ., Joshan, Gurpreet Singh (2017) Degraded Document Binarization., International Conference on Advancements in Engineering and Technology(ICATE-2017) | en_US |
| dc.identifier.isbn | 978-81-924893-2-2 | |
| dc.identifier.uri | https://kr.cup.edu.in/handle/32116/514 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | International Conference on Advancements in Engineering and Technology (ICAET) | en_US |
| dc.subject | Degraded | en_US |
| dc.subject | Binarization | en_US |
| dc.subject | Thresholding | en_US |
| dc.title | Degraded Document Binarization | en_US |
| dc.type | Book chapter | en_US |