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Pattern Recognition Using Artificial Neural Networks. Ace of Hearts. Eyal Ittah (60407301) Ittai Doron (53084489). Introduction. Classify images of playing cards by their suit and value. Pattern Recognition. Sensor – existing images
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Pattern Recognition Using Artificial Neural Networks Ace of Hearts Eyal Ittah (60407301) Ittai Doron (53084489)
Introduction • Classify images of playing cards by their suit and value
Pattern Recognition • Sensor – existing images • Feature extraction mechanism – Relaxation Labeling on color images • Classification scheme –Artificial Neural Network used to classify suit and value
Relaxation Labeling • Objects – pixels • Labels – object, background • Initial confidence – degree of white
Artificial Neural Networks • Neurons as basic calculation units • Input layer - Each neuron a single input variable • Hidden layers • Output layer - Each neuron represents a single output variable.
Artificial Neural Networks • Training the network • Supervised learning • Back-propagation • Learning rate
Conclusions • Using two ANNs instead of one • Decreasing the learning rate of the ANN • Using an output neuron for each class