Publikation

Improved Document Image Segmentation Algorithm using Multiresolution Morphology

Syed Saqib Bukhari, Faisal Shafait, Thomas Breuel

In: Document Recognition and Retrieval XVIII, SPIE 2011. SPIE Conference on Document Recognition and Retrieval (DRR-2011) January 23-27 San Francisco CA United States SPIE 2011.

Abstrakt

Page segmentation into text and non-text elements is an essential preprocessing step before optical character recognition (OCR) operation. In case of poor segmentation, an OCR classification engine produces garbage characters due to the presence of non-text elements. This paper describes modifications to the text/non-text segmentation algorithm presented by Bloomberg,1 which is also available in his open-source Leptonica library.2The modifications result in significant improvements and achieved better segmentation accuracy than the original algorithm for UW-III, UNLV, ICDAR 2009 page segmentation competition test images and circuit diagram datasets.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence