Cogprints
Login | Create Account

Visual Character Recognition using Artificial Neural Networks

Araokar, Shashank (2005) Visual Character Recognition using Artificial Neural Networks. [Preprint]

Full text available as:

[img]
Preview
PDF
84Kb

Abstract

The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In this paper, a simplified neural approach to recognition of optical or visual characters is portrayed and discussed. The document is expected to serve as a resource for learners and amateur investigators in pattern recognition, neural networking and related disciplines.

Item Type:Preprint
Keywords:text recognition, character recognition, pattern recognition, neural networking, artificial intelligence
Subjects:Computer Science > Machine Vision
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:4334
Deposited By:Araokar, Shashank
Deposited On:02 May 2005
Last Modified:12 Sep 2007 17:58

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. Anil K. Jain, Jianchang Mao, K. M.Mohiuddin, Artificial Neural Networks: A Tutorial, Computer,v.29 n.3, p.31-44, March 1996

2. Simon Haykin, Neural Networks: A comprehensive foundation, 2nd Edition, Prentice Hall, 1998

3. Alexander J. Faaborg, Using Neural Networks to Create an Adaptive Character Recognition System, March 2002, available at http://web.media.mit.edu/~faaborg/research/cornell/hci_neuralnetwork_finalPaper.pdf

4. E. W. Brown, Character Recognition by Feature Point Extraction, unpublished paper authored at Northeastern University, 1992, available at http://www.ccs.neu.edu/home/feneric/charrecnn.html

Metadata

Repository Staff Only: item control page

Cogprints is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.