Paper
18 January 2010 Analysis of line structure in handwritten documents using the Hough transform
Gregory R. Ball, Harish Kasiviswanathan, Sargur N. Srihari, Aswin Narayanan
Author Affiliations +
Proceedings Volume 7534, Document Recognition and Retrieval XVII; 75340Z (2010) https://doi.org/10.1117/12.839930
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
In the analysis of handwriting in documents a central task is that of determining line structure of the text, e.g., number of text lines, location of their starting and end-points, line-width, etc. While simple methods can handle ideal images, real world documents have complexities such as overlapping line structure, variable line spacing, line skew, document skew, noisy or degraded images etc. This paper explores the application of the Hough transform method to handwritten documents with the goal of automatically determining global document line structure in a top-down manner which can then be used in conjunction with a bottom-up method such as connected component analysis. The performance is significantly better than other top-down methods, such as the projection profile method. In addition, we evaluate the performance of skew analysis by the Hough transform on handwritten documents.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory R. Ball, Harish Kasiviswanathan, Sargur N. Srihari, and Aswin Narayanan "Analysis of line structure in handwritten documents using the Hough transform", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340Z (18 January 2010); https://doi.org/10.1117/12.839930
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Cited by 2 scholarly publications.
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KEYWORDS
Hough transforms

Edge detection

Gaussian filters

Analytical research

Binary data

Detection and tracking algorithms

Image segmentation

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