10 search results - page 1 / 2 » Best Practices for Convolutional Neural Networks Applied to ... |
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
ICDAR
2009
IEEE
14 years 2 days 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...
ICDAR
2005
IEEE
13 years 11 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...
FLAIRS
2004
13 years 6 months ago
2004
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
ICDAR
2009
IEEE
14 years 2 days ago
2009
IEEE
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...