ICPR 2012 Paper Abstract


Paper MoPSAT2.39

Clausner, Christian (University of Salford), Antonacopoulos, Apostolos (University of Salford), Pletschacher, Stefan (University of Salford)

A Robust Hybrid Approach for Text Line Segmentation in Historical Documents

Scheduled for presentation during the Regular Session "Poster Shotgun (02): SS+DA" (MoPSAT2), Monday, November 12, 2012, 14:00−14:30, Multi-Purpose Hall

21st International Conference on Pattern Recognition, November 11-15, 2012, Tsukuba International Congress Center, Tsukuba, Japan

This information is tentative and subject to change. Compiled on January 22, 2022

Keywords Historical Document Analysis, Document Analysis Systems, Layout Analysis


Large-scale digitisation of historical documents demands robust methods that cope with the presence of frequent distortions and noisy artefacts. This paper presents a hybrid text line segmentation method that uses a novel data structure and a rule base to combine the strengths of top-down and bottom-up approaches while minimising their weaknesses. The effectiveness of the proposed approach has been methodically evaluated in the context of large-scale digitisation using a standardised framework. Results on a diverse dataset show improved performance over top-down and bottom-up approaches as well as over a leading commercially available system.



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