ï~~Computerized Recognition of Hand-Written Musical Notes
Alex Bulis, Roy Almog, Moti Gerner & Uri Shimony
Laboratory of Computer Music Engineering
Department of Electrical Engineering
Technion, Israel Institute of Technology,
Haifa, Israel,
Introduction
This work describes a software unit called CNR (Computerized Note Recognition) whose
function is to interpret and recognize hardwritten musical notes. The handwritten notes are
read from paper by alj optical scanner and the image of the page is stored in memory as
a. blit-rma.p file. This file serves as an input to the CNR software. Note recognition is done
by the histogram. method: each symlbol is specified in a library of symbols by prerecorded
honizonta.l and vertical histograls. IIistograns of an unknown symbol is compared witih the
library histograms and the symbol with the best fit to the unknown symbol is chosen. A
horizont.al histogram describes the sum of on-pixels for each column of the symbol. Similarly,
a vertical histogram describes the sum of on-pixels for each row of the symbol, as seen in the
Figure.
Figure. lHorizontal and vert ica~l histograms of a hial f-note symbol
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