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A discriminative semi-Markov model for robust scene text recognition

10 years 3 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 location of the text baseline and font size; no binarization or prior word segmentation is necessary. Our system is aided by a lexicon, yet it also allows non-lexicon words. To facilitate inference with a large lexicon, we use an approximate Viterbi beam search. Our system performs robustly on low-resolution images of signs containing text in fonts atypical of documents.
Allen R. Hanson, Erik G. Learned-Miller, Jerod J.
Added 05 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Allen R. Hanson, Erik G. Learned-Miller, Jerod J. Weinman
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