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THE FRAMEWORK FOR FAST SKEW ANGLE DETECTION AND AUTO CORRECTION OF SCANNED DOCUMENTS.

Authors :
Trstenjak, Bruno
Mikac, Saša
Trstenjak, Jurica
Source :
Annals of DAAAM & Proceedings. 2018, Vol. 29, p0486-0494. 9p.
Publication Year :
2018

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17269679
Volume :
29
Database :
Academic Search Index
Journal :
Annals of DAAAM & Proceedings
Publication Type :
Conference
Accession number :
133451832
Full Text :
https://doi.org/10.2507/29th.daaam.proceedings.071