Publication - Robust Text-Line and Word Segmentation for Handwritten Document Images
PROFILE

Robust Text-Line and Word Segmentation for Handwritten Document Images

Research Area:  
Multimedia Processing
    
Type:  
In Proceedings

 

Year: 2007
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
ISSN: 1520-6149
DOI: 10.1109/DEXA.2008.30
Abstract:
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.
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