Standard printed musical note recognition based on neural network

Artificial neural network is widely used for many computer applications and assure it success in all of these fields, like recognition applications. In this paper the a supervised NN is used to recognize printed musical notes. First music staff image is read, this staff is segmented in to no. of single music note, then feature extraction is performed on results using combination of mathematic and statistic operations. BP now will trained on all extracted feature to recognize the standard printed music notes. This algorithm is applied on many examples and achieve good results and low error rate