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Proceedings Paper

Robust least-square-baseline finding using a branch and bound algorithm
Author(s): Thomas M. Breuel
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Paper Abstract

Many document analysis and OCR systems depend on precise identification of page rotation, as well as the reliable identification of text lines. This paper presents a new algorithm to address both problems. It uses a branch-and-bound approach to globally optimal line finding and simultaneously models the baseline and the descender line under a Gaussian error/robust least square model. Results of applying the algorithm to documents in the University of Washington Database 2 are presented.

Paper Details

Date Published: 18 December 2001
PDF: 8 pages
Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); doi: 10.1117/12.450735
Show Author Affiliations
Thomas M. Breuel, Xerox Palo Alto Research Ctr. (United States)


Published in SPIE Proceedings Vol. 4670:
Document Recognition and Retrieval IX
Paul B. Kantor; Tapas Kanungo; Jiangying Zhou, Editor(s)

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