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» End-to-end Scene Text Recognition
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ICDAR
2007
IEEE
13 years 11 months ago
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
Jerod J. Weinman, Erik G. Learned-Miller, Allen R....
ICPR
2008
IEEE
14 years 6 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. ...
ICPR
2002
IEEE
13 years 10 months ago
A Robust Approach for Recognition of Text Embedded in Natural Scenes
In this paper, we propose a robust approach for recognition of text embedded in natural scenes. Instead of using binary information as most other OCR systems do, we extract featur...
Jing Zhang, Xilin Chen, Andreas Hanneman, Jie Yang...
ICPR
2010
IEEE
14 years 7 days ago
Typographical Features for Scene Text Recognition
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
Jerod Weinman
CVPR
2005
IEEE
14 years 7 months ago
Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior
To increase the range of sizes of video scene text recognizable by optical character recognition (OCR), we developed a Bayesian super-resolution algorithm that uses a text-specifi...
Katherine Donaldson, Gregory K. Myers