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» Quality of OCR for Degraded Text Images
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ICDAR
2011
IEEE
12 years 5 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
DIAL
2006
IEEE
130views Image Analysis» more  DIAL 2006»
13 years 10 months ago
Refinement of digitized documents through recognition of mathematical formulae
We are developing a recognition system, named `Infty', for scientific documents including those with mathematical formulae. In this paper, we propose a new system that can re...
Toshihiro Kanahori, Masakazu Suzuki
ICDAR
2007
IEEE
13 years 10 months ago
Identification of Latin-Based Languages through Character Stroke Categorization
This paper presents a language identification technique that detects Latin-based languages of imaged documents without OCR. The proposed technique detects languages through the wo...
S. J. Lu, L. Li, Chew Lim Tan
ICIP
2009
IEEE
13 years 4 months ago
Semantic keyword extraction via adaptive text binarization of unstructured unsourced video
We propose a fully automatic method for summarizing and indexing unstructured presentation videos based on text extracted from the projected slides. We use changes of text in the ...
Michele Merler, John R. Kender
ICIP
2009
IEEE
14 years 7 months ago
Recognition Driven Page Orientation Detection
In document image recognition, orientation detection of the scanned page is necessary for the following procedures to work correctly as they assume that the text is well oriented....