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» Robust Text Detection from Binarized Document Images
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ICDAR
2007
IEEE
14 years 1 months ago
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...
M. Ramírez, Ernesto Tapia, Marco Block, Ra&...
ICPR
2010
IEEE
13 years 10 months ago
Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
Abstract--We attempt to evaluate the efficacy of six unsupervised evaluation method to tune Sauvola's threshold in optical character recognition (OCR) applications. We propose...
Marte Alejandro Ramírez-Ortegón, Raul Rojas
ICDAR
2009
IEEE
14 years 2 months ago
Scene Text Extraction Using Focus of Mobile Camera
Robust extraction of text from scene images is essential for successful scene text recognition. Scene images usually have non-uniform illumination, complex background, and existen...
Egyul Kim, SeongHun Lee, JinHyung Kim
ICPR
2008
IEEE
14 years 8 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
ICDAR
2009
IEEE
13 years 5 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara