TEXT LINE SEGMENTATION IN HANDWRITTEN DOCUMENTS BASED ON DYNAMIC WEIGHTS

Costin-Anton Boiangiu (), Mihai Cristian Tanase () and Radu Ioanitescu ()
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Costin-Anton Boiangiu: ”Politehnica” University of Bucharest Romania
Mihai Cristian Tanase: VirtualMetrix Design Romania
Radu Ioanitescu: European Pattent Office (EPO) Germany

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 2, 247-254

Abstract: Identification of text lines in documents, or text line segmentation, represents the first step in the process called ‘Text recognition”, whose purpose is to extract the text and put it in a more understandable format. The paper proposes a seam carving algorithm as an approach to find the text lines. This algorithm uses a new method that allocates dynamic weights for every processed pixel in the original image. With this addition, the resulting lines follow the text more accurately. The downside of this technique is the computational time overhead.

Keywords: OCR; text line segmentation; handwritten documents; dynamic weights (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:7:y:2013:i:2:p:247-254

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