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Proceedings Paper

Analysis of line structure in handwritten documents using the Hough transform
Author(s): Gregory R. Ball; Harish Kasiviswanathan; Sargur N. Srihari; Aswin Narayanan
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Paper 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.

Paper Details

Date Published: 18 January 2010
PDF: 9 pages
Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340Z (18 January 2010); doi: 10.1117/12.839930
Show Author Affiliations
Gregory R. Ball, CEDAR, Univ. at Buffalo (United States)
Harish Kasiviswanathan, CEDAR, Univ. at Buffalo (United States)
Sargur N. Srihari, CEDAR, Univ. at Buffalo (United States)
Aswin Narayanan, CEDAR, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 7534:
Document Recognition and Retrieval XVII
Laurence Likforman-Sulem; Gady Agam, Editor(s)

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