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

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tel-00912566, version 1 - 2 Dec 2013 (a) Tesseract-OCR (b) Our method (c) Tesseract-OCR (d) Our method Figure 6.4: This figure shows the result of paragraph detection for two documents that have obtained the best detection rate using our method and at the same time the worst detection rate using Tesseract-OCR. 108
tel-00912566, version 1 - 2 Dec 2013 (a) Tesseract-OCR (b) Our method (c) Tesseract-OCR (d) Our method Figure 6.5: This figure shows the result of paragraph detection for two more documents that have obtained the worst detection ratio using our method than that of Tesseract-OCR. 109
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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
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The second method calculates the co
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3. Repeat for m = 1, 2, ..., M •
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tel-00912566, version 1 - 2 Dec 201
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Chapter 4 Region detection tel-0091
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The next advantage of using CRFs is
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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 71 and 72: tel-00912566, version 1 - 2 Dec 201
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 and 106: • 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 117: tel-00912566, version 1 - 2 Dec 201
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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Segmentation of heterogeneous document images : an ... - Tel

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