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» Classifying Foreground Pixels in Document Images
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94
Voted
GIS
2009
ACM
15 years 1 months ago
Classification of raster maps for automatic feature extraction
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Yao-Yi Chiang, Craig A. Knoblock
64
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Raster Map Image Analysis
Raster map images (e.g., USGS) provide much information in digital form; however, the color assignments and pixel labels leave many serious ambiguities. A color histogram classiï¬...
Thomas C. Henderson, Trevor Linton
ICDAR
2011
IEEE
13 years 9 months ago
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators
—A vast number of historical and badly degraded document images can be found in libraries, public, and national archives. Due to the complex nature of different artifacts, such p...
T. Hoang Ngan Le, Tien D. Bui, Ching Y. Suen
ICDAR
2009
IEEE
14 years 7 months ago
A Robust Wavelet Transform Based Technique for Video Text Detection
In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method ...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
94
Voted
ICDAR
2009
IEEE
15 years 4 months ago
A Laplacian Method for Video Text Detection
In this paper, we propose an efficient text detection method based on the Laplacian operator. The maximum gradient difference value is computed for each pixel in the Laplacian-fil...
Trung Quy Phan, Palaiahnakote Shivakumara, Chew Li...