EN
HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS
Abstract
HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS
Keywords
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.
Details
Primary Language
English
Subjects
-
Journal Section
-
Publication Date
January 2, 2012
Submission Date
January 2, 2012
Acceptance Date
-
Published in Issue
Year 2007 Volume: 7 Number: 1
APA
Gorgel, P., & Oztas, O. (2012). HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering, 7(1), 309-313. https://izlik.org/JA66LR47EH
AMA
1.Gorgel P, Oztas O. HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;7(1):309-313. https://izlik.org/JA66LR47EH
Chicago
Gorgel, Pelin, and Oguzhan Oztas. 2012. “HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering 7 (1): 309-13. https://izlik.org/JA66LR47EH.
EndNote
Gorgel P, Oztas O (January 1, 2012) HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering 7 1 309–313.
IEEE
[1]P. Gorgel and O. Oztas, “HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS”, IU-Journal of Electrical & Electronics Engineering, vol. 7, no. 1, pp. 309–313, Jan. 2012, [Online]. Available: https://izlik.org/JA66LR47EH
ISNAD
Gorgel, Pelin - Oztas, Oguzhan. “HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering 7/1 (January 1, 2012): 309-313. https://izlik.org/JA66LR47EH.
JAMA
1.Gorgel P, Oztas O. HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering. 2012;7:309–313.
MLA
Gorgel, Pelin, and Oguzhan Oztas. “HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS”. IU-Journal of Electrical & Electronics Engineering, vol. 7, no. 1, Jan. 2012, pp. 309-13, https://izlik.org/JA66LR47EH.
Vancouver
1.Pelin Gorgel, Oguzhan Oztas. HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS. IU-Journal of Electrical & Electronics Engineering [Internet]. 2012 Jan. 1;7(1):309-13. Available from: https://izlik.org/JA66LR47EH