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» Robust Text Detection from Binarized Document Images
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ICDAR
2007
IEEE
15 years 10 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
15 years 7 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Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents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
15 years 11 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
16 years 5 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
15 years 2 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