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» A Novel Binarization System for Degraded Document Images
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ICDAR
2009
IEEE
14 years 2 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig
ICDS
2009
IEEE
14 years 2 months ago
Local Contrast Segmentation to Binarize Images
—In this paper, a new binarization algorithm for degraded document images is proposed. The method is based on positive and negative pixel energies using the Laplacian of an image...
Marco Block, Raúl Rojas
DAS
2010
Springer
14 years 6 days ago
Binarization of historical document images using the local maximum and minimum
This paper presents a new document image binarization technique that segments the text from badly degraded historical document images. The proposed technique makes use of the imag...
Bolan Su, Shijian Lu, Chew Lim Tan
DOCENG
2007
ACM
13 years 11 months ago
Thresholding of badly illuminated document images through photometric correction
This paper presents a document image thresholding technique that binarizes badly illuminated document images by the photometric correction. Based on the observation that illuminat...
Shijian Lu, Chew Lim Tan
ICDAR
2011
IEEE
12 years 7 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara