Abstract
This article describes our implementation of the optical music recognition system (OMR). The system implemented in our project is based on the binary neural network ADAM which has been used for recognition of music symbols. Preprocessing was implemented by conventional techniques. We decomposed the OMR process into several phases. The results of these phases are summarized (12 Refs.) pattern classification
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