A robust text line detection in complex handwritten documents

Pach, Jakub; Bilski, Piotr

doi:10.1109/idaacs.2015.7340742

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Unfortunately, the performance decreases with the increasing number of overlapping handwriting. The problem is suppressed by the introduced modification [6] described later in detail.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

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A Robust Binarization and Text Line Detection in Historical Handwritten Documents Analysis

Pach¹,

Bilski²

2016

IJC

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In this paper, we present a novel method of detecting text lines in handwritten documents based on the Block-Based Hough Transform. To maximize its efficiency, the robust binarization algorithm was applied. It is based on the Gaussian filtering and tackles the non-uniform luminance. The proposed technique consists of three steps: preprocessing, detecting of potential text lines and eliminating the false ones. The first step covers the image binarization, extraction of connected components and selection of supporting connected components based on the local maxima in the vertical histogram stripes. Secondly, the appropriate subset of connected components supplemented by one-point components is selected. Finally, the block-based Hough transform is applied to detect potential text lines and found the ones identified incorrectly. The proposed method is applied to the analysis of the fifteenth century Latin manuscripts. Our approach is more effective than the traditional ones, in the best cases by twenty percent.

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“…Unfortunately, the performance decreases with the increasing number of overlapping handwriting. The problem is suppressed by the introduced modification [6] described later in detail.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

“…In [6] the Otsu binarization method was applied to transform the original image into the black and white version, further processed by the subsequent algorithms. It influences the accuracy of the text line detection, which is widely implemented on the scanned documents, where the parallel projection is used.…”

Section: Preprocessingmentioning

confidence: 99%

A Robust Binarization and Text Line Detection in Historical Handwritten Documents Analysis

Pach¹,

Bilski²

2016

IJC

Self Cite

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Robust method for the text line detection and splitting of overlapping text in the Latin manuscripts

Pach

Bilski

2014

MG&V

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The paper presents the modified method of the text lines separation in the handwritten manuscripts. Such an approach is required for the medieval text analysis, where multiple text lines overlap and are written at different angles. The proposed approach consists in dividing the bounding boxes into smaller components based on the points of the character curves intersection. The method considers the askew text lines, producing non-rectangular zones between the neighboring lines.

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A robust text line detection in complex handwritten documents

Cited by 2 publications

References 9 publications

A Robust Binarization and Text Line Detection in Historical Handwritten Documents Analysis

A Robust Binarization and Text Line Detection in Historical Handwritten Documents Analysis

Robust method for the text line detection and splitting of overlapping text in the Latin manuscripts

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