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» Character Recognition using Spiking Neural Networks
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ICDAR
2003
IEEE
14 years 23 days ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
IJCSS
2007
122views more  IJCSS 2007»
13 years 7 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
CEAS
2005
Springer
13 years 9 months ago
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)
Human interaction proofs (HIPs) have become commonplace on the internet for protecting free online services from abuse by automated scripts/bots. They are challenges designed to b...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
WCE
2007
13 years 8 months ago
A Novel Vector Quantization Approach to Arabic Character Recognition
— In this paper, a novel approach to Arabic letter recognition is proposed. The system is based on the classified vector quantization (CVQ) technique employing the minimum distan...
Ahmad M. Sarhan, Omar I. Al Helalat
IWANN
2005
Springer
14 years 1 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...