Robust text-line and word segmentation for handwritten documents images

Robust text-line and word segmentation for handwritten documents images

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 o...

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Bibliographic Details
Published in:2008 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 3393 - 3396
Main Authors: Stafylakis, T., Papavassiliou, V., Katsouros, V., Carayannis, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01-03-2008
Subjects:
Carbon capture and storage
Clustering algorithms
Document image processing
Handwriting recognition
Image segmentation
Natural languages
Probability
Robustness
Speech processing
Statistics
support vector machines
Viterbi algorithm
Viterbi estimation
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Summary: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.
ISBN:9781424414833
1424414830
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4518379