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» The Recognition Strategy Language
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ICPR
2008
IEEE
16 years 6 months ago
Recognition of books by verification and retraining
The problem of character recognition in a book should be formulated significantly different from that of a single page or word. An ideal approach to design such a recognizer is to...
C. V. Jawahar, N. V. Neeba
ICPR
2000
IEEE
16 years 6 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
ICDAR
2007
IEEE
15 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....
COLING
1996
15 years 6 months ago
Modeling Topic Coherence for Speech Recognition
Statistical language models play a major role in current speech recognition systems. Most of these models have focussed on relatively local interactions between words. Recently, h...
Satoshi Sekine
165
Voted
ICASSP
2010
IEEE
15 years 5 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt