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

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tel-00912566, version 1 - 2 Dec 2013 Figure 1.2: Left; A document page that is segmented incorrectly by ABBYY FineReader 2011 and Right; The same document segmented by our method. page. The proposed method is based on both intrinsic and extrinsic features that have the advantages of both connected component based and block-based methods in detecting graphical elements inside a document image. 2. Identification of side notes in historical document images as a new step in document image analysis. Although due to the advances in page segmentation algorithms during the last decade, page segmentation methods can segment multi-column documents correctly, but problems still exist in some area such as detecting side notes when they are situated close to the main text. Figure 1.3 shows the result of page segmentation with ABBYY FineReader 2011 that has gone wrong. Note that when the segmentation is wrong, the result of OCR is also not impressive. Figure 1.4 demonstrates the result of page segmentation, obtained from our method in the form of paragraphs for the same image. 3. A powerful framework for text region detection and column separation that provides the ability of inducing prior knowledge about the document into the detector. 4. A new trainable method for grouping text lines into paragraphs based on a binary tree model that maximize the probability of preserving groups 6
tel-00912566, version 1 - 2 Dec 2013 Figure 1.3: Left; A document page that is segmented incorrectly by ABBYY Fine Reader 2011 and Right; Its corresponding result for character recognition. Figure 1.4: method. The result of paragraph detection of the image in figure 1.3 by our 7
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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
Page 11 and 12: 6.1 PARAGRAPH DETECTION SUCCESS RAT
Page 15: detection and we conclude that the
Page 21 and 22: Figure 1.8: A screen shot that show
Page 23 and 24: Chapter 2 Related work tel-00912566
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Page 31 and 32: [21] is another texture-based metho
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{ 1 if ys = text and y f 1 (y s , y
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(a) Document (b) Filled text compon
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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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