HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS

Year 2007, Volume: 7 Issue: 1, 309 - 313, 02.01.2012

Pelin Gorgel Oguzhan Oztas

Abstract

HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS

Keywords

Character Recognition, Artificial Neural Networks, Backpropagation, Supervised Learning

References

• Araokar, S. “Visual character recognition using artificial neural networks”. MGM’s College of Engineering and Technology, 2005.
• 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
• Mani, N., Voumard, P. “An optical character recognition using Artificial Neural Network”. IEEE,1996.
• Smagt, P. “A comparative study of neural network algorithms applied to optical character recognition”. ACM/ IEEE,2000.
• 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. http://www.rgu.ac.uk
• Pelin GORGEL was born in Beyoglu/İstanbul, in Turkey on May 28, 1981. She graduated from Buyuksehir
• Anatolian High School in İstanbul. She acquired the name of Computer Science Engineer at Istanbul University in 1999. After that she had her postgraduate in 2006, in Istanbul University Computer Engineering Department.
• She is a PhD candidate in the same department. She has been working as a Research Assistant since 2004.