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» Word Segmentation and Recognition for Web Document Framework
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INTERSPEECH
2010
13 years 2 months ago
A spoken term detection framework for recovering out-of-vocabulary words using the web
Vocabulary restrictions in large vocabulary continuous speech recognition (LVCSR) systems mean that out-of-vocabulary (OOV) words are lost in the output. However, OOV words tend t...
Carolina Parada, Abhinav Sethy, Mark Dredze, Frede...
ICDAR
2009
IEEE
14 years 2 months ago
A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
Xiaoyuan Zhu, Yong Ge, Feng-Jun Guo, Li-Xin Zhen
ICDAR
2003
IEEE
14 years 25 days ago
Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques
This paper describes a system being developed to recognize date information handwritten on Canadian bank cheques. A segmentation based strategy is adopted in this system. In order...
Qizhi Xu, Louisa Lam, Ching Y. Suen
ICDAR
2011
IEEE
12 years 7 months ago
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
— This paper presents a new method based on Fourier and moments features to extract words and characters from a video text line in any direction for recognition. Unlike existing ...
Deepak Rajendran, Palaiahnakote Shivakumara, Bolan...
ICDAR
2009
IEEE
13 years 5 months ago
Recurrent HMMs and Cursive Handwriting Recognition Graphs
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...
Marc-Peter Schambach