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

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tel-00912566, version 1 - 2 Dec 2013 (a) Separators (b) Removing unneeded separators (c) Extending separators (d) Final text lines Figure 5.5: Some steps to get from separators to text lines 96
tel-00912566, version 1 - 2 Dec 2013 (a) Separators (b) Removing unneeded separators (c) Extending separators (d) Final text lines Figure 5.5: Some steps to get from separators to text lines 97
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tel-00912566, version 1 - 2 Dec 201
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Resumé La segmentation de page est
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Acknowledgements This work would no
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4.3.2 Text components . . . . . . .
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3.6 Two documents that have obtaine
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6.1 PARAGRAPH DETECTION SUCCESS RAT
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tel-00912566, version 1 - 2 Dec 201
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detection and we conclude that the
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tel-00912566, version 1 - 2 Dec 201
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tel-00912566, version 1 - 2 Dec 201
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Figure 1.8: A screen shot that show
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Chapter 2 Related work tel-00912566
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tel-00912566, version 1 - 2 Dec 201
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them. In such circumstances, it wou
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tel-00912566, version 1 - 2 Dec 201
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[21] is another texture-based metho
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Figure 2.4: Part of a document in o
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• Degraded quality due to ageing
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2.3.2 Handwritten text line detecti
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(a) Divided strips and their projec
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(a) Five zones 1-5 (b) Projection p
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would be difficult to draw a conclu
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The proposed methods by Xiao [102],
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tel-00912566, version 1 - 2 Dec 201
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is assigning a label to a region of
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fixed range. When the elongation ap
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tel-00912566, version 1 - 2 Dec 201
Page 55 and 56: The second method calculates the co
Page 57 and 58: 3. Repeat for m = 1, 2, ..., M •
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Page 61 and 62: Chapter 4 Region detection tel-0091
Page 63 and 64: The next advantage of using CRFs is
Page 65 and 66: weights that are assigned to edge a
Page 67 and 68: { 1 if ys = text and y f 1 (y s , y
Page 69 and 70: (a) Document (b) Filled text compon
Page 75 and 76: f = [y c = 0] × [y tl = 0] f = [y
Page 77 and 78: (a) Ground-truth (b) y c = 0 tel-00
Page 79 and 80: ∂l λ = ∑ ( ∑y∈Y f k (y s ,
Page 81 and 82: incorrect [100]. Several sufficient
Page 91 and 92: Table 4.3: TION COUNT WEIGHTED SUCC
Page 97 and 98: Chapter 5 Text line detection tel-0
Page 103 and 104: Having specified the model, a verti
Page 105: • The fifth step is to remove ext
Page 109 and 110: text lines can be divided into two
Page 111 and 112: the two children. The root node rep
Page 113 and 114: leaves of the tree which contain on
Page 121 and 122: currently working on some of these
Page 123 and 124: • fn (false negative) is the numb
Page 125 and 126: 2 ∗ RA ∗ DR F − Measure = RA
Page 127 and 128: • ”-tn”: This option uses the
Page 129 and 130: [12] T. M. Breuel. Two geometric al
Page 131 and 132: [39] B. Gatos, A. Antonacopoulos, a
Page 133 and 134: [64] K. P. Murphy, Y. Weiss, and M.
Page 135 and 136: [91] M. Stamp. A revealing introduc
Page 137 and 138: Index tel-00912566, version 1 - 2 D
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