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 Th upu fCR.i usclalh-uerccd, ecibn h"pthsofnts simple rerec re.y 0 h-oitora a nd eatily onst ructed Ii brlarf-er odds m10 htog-amsThhioga1 method of identifyingon re"symle bolfi son imes faIs, seciial lvrwens 110
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