9 search results - page 1 / 2 » Reading Text in the Wild with Convolutional Neural Networks |
ICDAR
2009
IEEE
13 years 11 months ago
2009
IEEE
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
CVPR
1997
IEEE
14 years 7 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
ICDAR
2005
IEEE
13 years 10 months ago
2005
IEEE
Cheap and versatile cameras make it possible to easily and quickly capture a wide variety of documents. However, low resolution cameras present a challenge to OCR because it is vi...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
A new courtesy amount recognition module of CENPARMI’s Check Reading System (CRS) is proposed in this paper. The module consists of 3 main segments: pre-processing, segmentation...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
This paper presents a staged series of artificial neural networks (ANNs) for phoneme recognition for text-to-speech applications. Contrary from much of the prior published literat...