Document Image Skew Detection and Correction: A Survey
Author(s):
Barun Biswas, Dr. Ujjwal Bhattacharya, Bidyut B Chaudhuri
Keywords:
Documet Image Processing, Optical Character Recognition (OCR), hough Transform, PCA, Projection Profile Based Methods (PP), Nearest Neighbor Clustering (NN), Connected Component Analysis(CCA)
Abstract
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.
Article Details
Unique Paper ID: 158871

Publication Volume & Issue: Volume 9, Issue 10

Page(s): 949 - 962
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