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ICADL
2004
Springer

Character Region Identification from Cover Images Using DTT

9 years 4 months ago
Character Region Identification from Cover Images Using DTT
A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphological top-hat transformation (TT), and efficient for feature identification. This research is considered as a fundamental study for auto-classification of printed documents for organizing a Digital Library (DL) system. The entire procedure can be divided into two steps: region classification and character region identification. In the first step, a source gray image is segmented by a series of structuring elements (SE) into sub-images using the DTT. Since the widths of regions are relative to the scales of the characters, the different scales of characters are classified into the series of sub-images. The character region identification processing is composed of feature emphasis, extraction of candidate character regions and region reconstruction processing. Feature emphasis processing reduces noises and emphasiz...
Lixu Gu
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICADL
Authors Lixu Gu
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