Segmentation of heterogeneous document images : an ... - Tel

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tel-00912566, version 1 - 2 Dec 2013 Figure 1.6: Two sample documents from the dataset for ICDAR2009 competition [6]. Figure 1.7: A screen shot of our developed software for generating XML ground truth documents for each document image 10
Figure 1.8: A screen shot that shows part of the contents of an XML file created by our software tel-00912566, version 1 - 2 Dec 2013 they can only be read and write using Aletheia[25] from Prima tools. The other tool from Prima group is Prima Layout Evaluation[25] that compares the XML output from a segmentation process with the ground truth data and provides detailed evaluations on how they differ from each other. Due to this new tool, we annotated every document with Aletheia and produced XML ground truth documents for the purpose of evaluation. 1.6 Organization of this dissertation Figure 1.9 gives an overview of the organization of this thesis, highlighting the connection between different chapters of this thesis. This dissertation is organized as follows: Chapter 2 outlines the major areas of work in document page segmentation and addresses key parts of text segmentation in document literature. We describe our system with all the details in the span of four chapters. Chapter 3 deals with various aspects of text/graphics separation of out method. Text region detection is explained in chapter 4. Text lines and paragraphs detection are accounted in chapters 5 and 6, respectively. We note the experiments and results for each part of the method at the end of its own chapter. Finally, in chapter 7 we give recommendation for future work. 11
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Page 3 and 4: Resumé La segmentation de page est
Page 5 and 6: Acknowledgements This work would no
Page 7 and 8: 4.3.2 Text components . . . . . . .
Page 9 and 10: 3.6 Two documents that have obtaine
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Page 23 and 24: Chapter 2 Related work tel-00912566
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f = [y c = 0] × [y tl = 0] f = [y
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(a) Ground-truth (b) y c = 0 tel-00
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∂l λ = ∑ ( ∑y∈Y f k (y s ,
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incorrect [100]. Several sufficient
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Table 4.3: TION COUNT WEIGHTED SUCC
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Chapter 5 Text line detection tel-0
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Having specified the model, a verti
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• The fifth step is to remove ext
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text lines can be divided into two
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the two children. The root node rep
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leaves of the tree which contain on
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currently working on some of these
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• fn (false negative) is the numb
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2 ∗ RA ∗ DR F − Measure = RA
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• ”-tn”: This option uses the
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[12] T. M. Breuel. Two geometric al
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[39] B. Gatos, A. Antonacopoulos, a
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[64] K. P. Murphy, Y. Weiss, and M.
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[91] M. Stamp. A revealing introduc
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Index tel-00912566, version 1 - 2 D
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