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Paper
Title

FPGA Implementation of Character Recognition Using Spiking Neural Network

Year: 1394
COI: ICEEE07_408
Language: EnglishView: 499
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Authors

Ensieh Iranmehr - Department of Electrical Engineering Sharif University of Technology Tehran, Iran
Bijan Vosughi Vahdat - Department of Electrical Engineering Sharif University of Technology Tehran, Iran
Mohammad Mahdi Faraji - Department of Electrical Engineering Sharif University of Technology Tehran, Iran

Abstract:

Character recognition is very useful in various fields of engineering applications. Due to visual remarkable ability of humans, this paper describes a simple biological inspired model based on Spiking Neural Network (SNN) for recognizing characters. Two datasets are used: MNIST for recognizing English characters and Bani Nick Pardazesh dataset for recognizing Persian characters. The proposed network is a two layered structure consisting of Integrate and Fire (IF) and active dendrite neurons. In order to train first layer of this network, a proposed algorithm based on k-means is used. Furthermore, a modified algorithm based on Spike Time Dependent Plasticity (STDP) is used in order to train second layer of this network. This structure is designed in way that can be implemented on Field Programming Gate Array (FPGA) properly. Implementation results demonstrate that this model occupies not many resources and also it is very fast in character recognition applications. Finally by applying test data, the proposed neural structure has been evaluated. Simulation results indicate high accuracy of recognizing characters.

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Paper COI Code

This Paper COI Code is ICEEE07_408. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/459392/

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Iranmehr, Ensieh and Vosughi Vahdat, Bijan and Faraji, Mohammad Mahdi,1394,FPGA Implementation of Character Recognition Using Spiking Neural Network,7th iranian conference on electrical and electronic engineering ,Gonabad,https://civilica.com/doc/459392

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Type of center: دانشگاه دولتی
Paper count: 13,919
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