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

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 Identification of side notes in historical document images as a new step in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
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