Performance Analysis of Software Implementation of Reproducing Music from Musical Notes (Mozart)

In this research take a picture of Mozart of any music or instrument than the process on the captured image and all information pass to the MATLAB for image processing. The Algorithm separates the one line of Mozart and then separate another line in this way separate line by line of the whole Mozart. After separating line another step is to separate beat one by one from the separated line from the picture of Mozart. In this way, all the line and beats of Mozart are separated using the MATLAB software. When all the beats and lines are individual then find the meaning according to their symbol and combined the entire tune related to whole music or instrument. Then whole the music which is combining from the image of Mozart (musical notes) is played through the MATLAB software

Old Handwritten Musical Symbol classification by a Dynamic Time Warping based method

Abstract. A growing interest in the document analysis field is the recognition of old handwritten documents, towards the conversion into a readable format. The difficulties when working with old documents are increased, and other techniques are required for recognizing handwritten graphical symbols that are drawn in such these documents. In this paper we present a Dynamic Time Warping based method that outperforms the classical descriptors, being also invariant to scale, rotation, and elastic deformations typical found in handwriting musical notation.