Robust text-line and word segmentation for handwritten documents images
Themos Stafylakis, Vassilis Papavassiliou, Vassilis Katsouros, G. Carayannis · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
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.