Abstract
Abstract
In this Paper, a neural network image recognition system is used. The
Neocognitron[8] in that system is used as feature extractor, then the feature are
classified by using a multilayered feedforward network to generate recognition
codes. Many neural learning algorithms are used to extract the feature, then
comparison among them is presented. Finally a comparison between most active
algorithms among them with respect to the whole performance of the of the
designed system is presented. The biases used in MBCL (Modified Bias
Competitive Learning) played an important role to improve the performance of
competitive learning algorithms. Using SOFM (Self Organizing Feature Map) to
extract features gave better recognition rate than MBCL and other algorithms.
Keywords: Feature extraction, Competitive learning, Image recognition,
Neocognitron
