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Sensors 2010, 10(5), 5263-5279; doi:10.3390/s100505263

Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction

1,* , 2
1 Technical Faculty Bor, V.J. 12, University of Belgrade, 19210 Bor, Serbia 2 Department of Informatics, Zeleni Bulevar 35, Mining and Metallurgy Institute, 19210 Bor, Serbia 3 Technical College Niš, Aleksandra Medvedeva 20, 18000 Niš, Serbia
* Author to whom correspondence should be addressed.
Received: 9 April 2010 / Revised: 13 May 2010 / Accepted: 14 May 2010 / Published: 25 May 2010
(This article belongs to the Section Chemical Sensors)
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Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting. Hence, text line segmentation is a leading challenge in handwritten document image processing. Due to inconsistencies in measurement and evaluation of text segmentation algorithm quality, some basic set of measurement methods is required. Currently, there is no commonly accepted one and all algorithm evaluation is custom oriented. In this paper, a basic test framework for the evaluation of text feature extraction algorithms is proposed. This test framework consists of a few experiments primarily linked to text line segmentation, skew rate and reference text line evaluation. Although they are mutually independent, the results obtained are strongly cross linked. In the end, its suitability for different types of letters and languages as well as its adaptability are its main advantages. Thus, the paper presents an efficient evaluation method for text analysis algorithms.
Keywords: OCR; document engineering; text line segmentation; text features; testing OCR; document engineering; text line segmentation; text features; testing
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Brodić, D.; Milivojević, D.R.; Milivojević, Z. Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction. Sensors 2010, 10, 5263-5279.

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