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Visual Character Recognition using Artificial Neural Networks

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

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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

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 E. W. Brown, Character Recognition by Feature Point Extraction, unpublished paper authored at Northeastern University, 1992, available at http://www.ccs.neu.edu/home/feneric/charrecnn.html

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