Handwritten character recognition system using artificial neural networks

Istanbul University - Journal of Electrical and Electronics Engineering

Volumn 7, Issue 1, 2007, Pages 309-313

  Gorgel, Pelin ^a   Oztas, Oguzhan ^a  

^a ISTANBUL UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Backpropagation; Character recognition; Supervised learning

Indexed keywords

BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS;

CHARACTER RECOGNITION SYSTEMS; NETWORK PARAMETRES; TRAINING SETS;

CHARACTER RECOGNITION;

EID: 36148975404     PISSN: 13030914     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Araokar, S. "Visual character recognition using artificial neural networks". MGM's College of Engineering and Technology, 2005.
2. Erdem, O. A. , Uzun, E. "Turkish times new roman, arial, and handwriting characters recognition by neural network". J. Fac. Eng. Arch. Gazi Univ., Vol 20, No 1, 13-19, 2005
3. Mani, N., Voumard, P. "An optical character recognition using Artificial Neural Network". IEEE, 1996.
4. Smagt, P. "A comparative study of neural network algorithms applied to optical character recognition". ACM/IEEE,2000.
5. Salameh, W. A., Otair M. A. "Online handwritten character recognition using an optical backpropagation neural network". Issues in Informing Science and Information Technology, 787-795. 2005.
6. http://www.rgu.ac.uk