Machine Vision for Coin Recognition with ANNs: Effect of Training and Testing Parameters.
Vedang ChauhanKeyur D. JoshiBrian W. SurgenorPublished in: EANN (2017)
Keyphrases
- machine vision
- character recognition
- image processing
- artificial neural networks
- quality control
- vision system
- test set
- feed forward neural networks
- using artificial neural networks
- object recognition
- imaging systems
- recognition accuracy
- computer vision
- benchmark classification problems
- recognition rate
- surface inspection
- maximum likelihood
- back propagation
- supervised learning
- recognition process
- training phase
- training stage
- training algorithm
- testing phase
- feedforward artificial neural networks
- real time
- test cases
- viewpoint
- feed forward
- input variables
- recognition algorithm
- multi view
- training set
- genetic algorithm