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» Arabic Text Recognition Using Neural Networks
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IV
2000
IEEE
94views Visualization» more  IV 2000»
15 years 1 months ago
Character Recognition of Arabic and Latin Scripts
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...
Fiaz Hussain, John Cowell
ICDAR
2009
IEEE
15 years 4 months ago
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
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...
Huiqun Deng, George Stathopoulos, Ching Y. Suen
ICPR
2010
IEEE
14 years 11 months ago
Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition
Offline handwriting recognition (OHR) is an extremely challenging task because of many factors including variations in writing style, writing device and material, and noise in the ...
Rohit Prasad, Matin Kamali, David Belanger, Antti-...
SBRN
2002
IEEE
15 years 2 months ago
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
Mauricio Kugler, Heitor Silvério Lopes
81
Voted
MMM
2007
Springer
129views Multimedia» more  MMM 2007»
15 years 3 months ago
A New Method to Improve Multi Font Farsi/Arabic Character Segmentation Results: Using Extra Classes of Some Character Combinatio
A new segmentation algorithm for multifont Farsi/Arabic texts based on conditional labeling of up and down contours was presented in [1]. A preprocessing technique was used to adju...
Mona Omidyeganeh, Reza Azmi, Kambiz Nayebi, Abbas ...