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The document images were obtained using camera imaging (21 mega-pixels) at a resolution of 300 dpi.
All document images courtesy of the National Archives.
Warping is a common appearance in camera captured document images.
Therefore it is necessary to restore warped document images before recognition.
It is the primary factor that makes such kind of document images hard to be recognized.
The binarization of degraded document images is a challenging problem in terms of document analysis.
Curved or stylistic text present in document images poses problems in segmentation and recognition.
The proposed method detects and extracts text areas from document images.
Their scheme can distinguish the texture, character and color from the document images.
The results are similar to those from the original document images.
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