Robust Text-Line and Word Segmentation for Handwritten Document Images
|Authors:||Themos Stafylakis; Vassilis Papavassiliou; Vassilis Katsouros; George Carayannis|
|Book title:||In proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008.|
|Pages:||3393 - 3396|
|Address:||Las Vegas, NV|
|Date:||March 31 2008-April|
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.