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» Adaptive Stack Algorithm in Document Image Decoding
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ACIVS
2010
Springer
13 years 2 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
Pasha Shadkami, Nicolas Bonnier
ICDAR
2005
IEEE
13 years 11 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts....
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
ICIP
1998
IEEE
14 years 6 months ago
Efficient Representation and Decoding of Static Huffman Code Tables in a Very Low Bit Rate Environment
The lossless entropy coding used in many image coding schemes often is overlooked as most research is based around the lossy stages of image compression. This paper examines the r...
Nick B. Body, Donald G. Bailey
ICDAR
2003
IEEE
13 years 10 months ago
Training on Severely Degraded Text-Line Images
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
Prateek Sarkar, Henry S. Baird, Xiaohu Zhang
ICDAR
2009
IEEE
14 years 2 days ago
Constant-Time Locally Optimal Adaptive Binarization
Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase...
Iuliu Konya Konya, Christoph Seibert, Stefan Eicke...