I don't think template matching would work very well as its not robust to rotation and other perspective transformations. What i had in mind was to Cascade a number of weak classifier together to get a strong classier (like the principle used in HAAR classfiers ) . Each of these classifiers should not miss out the note head but its okay if they detected some thing else in addition as we will only be taking the combined result of all the classifiers.
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