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Pregled bibliografske jedinice broj: 985393

The framework for fast skew angle detection and auto correction of scanned documents


Trstenjak, Bruno; Mikac, Saša; Trstenjak, Jurica
The framework for fast skew angle detection and auto correction of scanned documents // Proceedings of the 29th International DAAAM Symposium ''Intelligent Manufacturing & Automation'' / Katalinic, Branko (ur.).
Zadar, 2018. str. 486-494 doi:10.2507/29th.daaam.proceedings.071 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), stručni)


CROSBI ID: 985393 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The framework for fast skew angle detection and auto correction of scanned documents

Autori
Trstenjak, Bruno ; Mikac, Saša ; Trstenjak, Jurica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
Proceedings of the 29th International DAAAM Symposium ''Intelligent Manufacturing & Automation'' / Katalinic, Branko - Zadar, 2018, 486-494

ISBN
978-3-902734-20-4

Skup
29th DAAAM International Symposium on intelligent manufacturing and automation

Mjesto i datum
Zadar, Hrvatska, 24.10.2018. - 27.10.2018

Vrsta sudjelovanja
Ostalo

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
skew detection ; scanned document correction ; document pre-processing ; Fast Fourier Transform

Sažetak
This paper proposes the framework and implemented algorithm for text skew angle detection and auto correction of scanned documents. The process of scanning the documents might cause their displacement and rotation, which later affects the difficulty in text recognition process. The paper presents a developed application with the algorithm adapted specially for the framework. The implemented algorithm is based on Fast Fourier Transform. The framework enables text skew angle measurement and according to the archived results performs rotation and correction of the scanned document. Evaluation of the framework was focused on determining accuracy in skew angle detection, on determining the implemented algorithm sensitivity based on the resolution and quality of scanned documents. The evaluation showed that the proposed framework achieved good results which provide guidance for the further development of similar frameworks.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Međimursko veleučilište u Čakovcu

Profili:

Avatar Url Bruno Trstenjak (autor)

Avatar Url Jurica Trstenjak (autor)

Poveznice na cjeloviti tekst rada:

doi www.daaam.info

Citiraj ovu publikaciju:

Trstenjak, Bruno; Mikac, Saša; Trstenjak, Jurica
The framework for fast skew angle detection and auto correction of scanned documents // Proceedings of the 29th International DAAAM Symposium ''Intelligent Manufacturing & Automation'' / Katalinic, Branko (ur.).
Zadar, 2018. str. 486-494 doi:10.2507/29th.daaam.proceedings.071 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
Trstenjak, B., Mikac, S. & Trstenjak, J. (2018) The framework for fast skew angle detection and auto correction of scanned documents. U: Katalinic, B. (ur.)Proceedings of the 29th International DAAAM Symposium ''Intelligent Manufacturing & Automation'' doi:10.2507/29th.daaam.proceedings.071.
@article{article, author = {Trstenjak, Bruno and Mikac, Sa\v{s}a and Trstenjak, Jurica}, editor = {Katalinic, B.}, year = {2018}, pages = {486-494}, DOI = {10.2507/29th.daaam.proceedings.071}, keywords = {skew detection, scanned document correction, document pre-processing, Fast Fourier Transform}, doi = {10.2507/29th.daaam.proceedings.071}, isbn = {978-3-902734-20-4}, title = {The framework for fast skew angle detection and auto correction of scanned documents}, keyword = {skew detection, scanned document correction, document pre-processing, Fast Fourier Transform}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Trstenjak, Bruno and Mikac, Sa\v{s}a and Trstenjak, Jurica}, editor = {Katalinic, B.}, year = {2018}, pages = {486-494}, DOI = {10.2507/29th.daaam.proceedings.071}, keywords = {skew detection, scanned document correction, document pre-processing, Fast Fourier Transform}, doi = {10.2507/29th.daaam.proceedings.071}, isbn = {978-3-902734-20-4}, title = {The framework for fast skew angle detection and auto correction of scanned documents}, keyword = {skew detection, scanned document correction, document pre-processing, Fast Fourier Transform}, publisherplace = {Zadar, Hrvatska} }

Citati:





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