Handwritten document image segmentation into text lines and words

Two novel approaches to extract text lines and words from handwritten document are presented. The line segmentation algorithm is based on locating the optimal succession of text and gap areas within vertical zones by applying Viterbi algorithm. Then, a text-line separator drawing technique is applie...

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Bibliographic Details
Published in:Pattern recognition 2010, Vol.43 (1), p.369-377
Main Authors: Papavassiliou, Vassilis, Stafylakis, Themos, Katsouros, Vassilis, Carayannis, George
Format: Article
Language:English
Subjects:
Applied sciences
Coding, codes
Document image processing
Exact sciences and technology
Handwritten text line segmentation
Handwritten word segmentation
Image processing
Information, signal and communications theory
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Support vector machines
Telecommunications and information theory
Viterbi estimation
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Summary:Two novel approaches to extract text lines and words from handwritten document are presented. The line segmentation algorithm is based on locating the optimal succession of text and gap areas within vertical zones by applying Viterbi algorithm. Then, a text-line separator drawing technique is applied and finally the connected components are assigned to text lines. Word segmentation is based on a gap metric that exploits the objective function of a soft-margin linear SVM that separates successive connected components. The algorithms tested on the benchmarking datasets of ICDAR07 handwriting segmentation contest and outperformed the participating algorithms.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2009.05.007