A Robust Approach to Document Skew Detection

Biswas, Barun; Bhattacharya, Ujjwal; Chaudhuri, B. B.

doi:10.1007/978-981-19-6791-7_3

Cited by 1 publication

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before apply OCR to the document image some pre-processing operations like binarization [23] [18], line segmentation [22] skew correction [24] [55], [83], [4], [99], [87], page layout analysis etc are applied on the documents. Among these skew correction is one of the most important.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Existing Literature on Document Skew Detection

(Corresponding Author),

BHATTACHARYA,

CHAUDHURI

2023

MJCS

View full text Add to dashboard Cite

This article presents somewhat detail discussions on document image skew detection methods available in the existing literature. We first categorise the document images into several types and then we discuss different methods available to detect the skew angle of document images belonging to the individual categories. Various methods of document image skew detection include Hough Transform, Principal Components Analysis, Projection Profile based methods, Nearest Neighbor clustering, Connected Component Analysis, Cross Correlation, Radon Transform etc. Discussions on different standard databases of document image samples that have been used by the authors for experimentation purpose are included in the survey. These databases include NIST Federal Register Document Image Database, UW-I, UW-II, UW-III databases, ICDAR DISEC 2013 database, IFN/ENIT database etc. Here, we consider about eight such standard databases. Moreover, we compare different methods with respect to their accuracy and the respective range of skew angles detected by the concerned methods.

show abstract