DocumentCode :
249940
Title :
Izhikevich Model Based Pattern Classifier for Hand Written Character Recognition -- A Review Analysis
Author :
Chaturvedi, Sushil ; Sondhiya, Neha R. ; Titre, Rutika N.
Author_Institution :
Electron. & Comm. Eng., PIET, Nagpur, India
fYear :
2014
fDate :
9-11 Jan. 2014
Firstpage :
346
Lastpage :
349
Abstract :
Pattern recognition is related with automatic detection or classification of an object. It find application in various fields such as automated analysis of medical image of blood contents, identification of humans from figure prints, hand writing recognition etc. In this paper we will analyse Izhikevich neuron model used for recognizing pattern and we also compare Izhikevich neuron model and Leaky integrate and fire neuron model which belongs to category of spiking neural network.
Keywords :
handwritten character recognition; image classification; object detection; Izhikevich model based pattern classifier; Izhikevich neuron model; automatic classification; automatic detection; blood contents; fire neuron model; hand written character recognition; medical image; spiking neural network; Analytical models; Biological neural networks; Brain modeling; Computational modeling; Fires; Neurons; Pattern recognition; Izhikevich neuron model; leaky integrate and fire model; spiking neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference on
Conference_Location :
Nagpur
Type :
conf
DOI :
10.1109/ICESC.2014.65
Filename :
6745401
Link To Document :
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