Title :
Handwritten farsi numeral recognition by neural network based on single electron transistors (SETs)
Author :
Najafi, M. ; Shahhoseini, A. ; Mirzakuchaki, S.
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Qazvin, Iran
Abstract :
In this paper, handwritten farsi numeral recognition task (0-9) is developed using Hamming neural network circuit based on single electron transistors. simulations were done using Hspice and MATLAB softwares, which in comparison with SIMON software to have high speed in simulink area.
Keywords :
handwritten character recognition; mathematics computing; natural languages; neural nets; optical character recognition; single electron transistors; Hamming neural network circuit; Hspice software; MATLAB software; SET; SIMON software; Simulink area; handwritten Farsi numeral recognition task; single electron transistors; Computer languages; Neurons;
Conference_Titel :
Devices, Circuits and Systems (ICDCS), 2012 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4577-1545-7
DOI :
10.1109/ICDCSyst.2012.6188674
