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Robust text-line and word segmentation for handwritten documents images

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4 Author(s)
Themos Stafylakis ; Institute for Language and Speech Processing of Athena - Research and Innovation Center in Information, Communication and Knowledge Technologies, Athens, Greece ; Vassilis Papavassiliou ; Vassilis Katsouros ; George Carayannis

This paper addresses the problem of automatic text-line and word segmentation in handwritten document images. Two novel approaches are presented, one for each task. In text-line segmentation a Viterbi algorithm is proposed while an SVM-based metric is adopted to locate words in each text-line. The overall algorithm was tested in the ICDAR2007 handwriting segmentation contest and showed highly promising results.

Published in:

2008 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

March 31 2008-April 4 2008