| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 101 === The purpose of the OMR(Optical Music Recognition) is to recognize the melody and rhythm in the music score by using the image processing techniques. The application of OMR includes musical assisted instruction, musical accompaniment, digital archives, etc.
In this thesis, a skew detection method with high precision has been proposed. The noise of input data for the least square estimation can be filtered according to the characteristics of staff in every single column. Then the correctness of staff detection and removal that dependent on skew correction can be promoted simultaneously.
The musical object can be classified with the number of stem and head. According to the different feature of classes, the value of musical object can be recognized by width-height ratio, template matching, regional projection and vertical segment analysis separately. The pitch of musical object can be recognized by the relative position between head and staff. The final recognition result is obtained by combining the recognition result of pitch and value.
The experimental results show that the proposed percussion-based OMR system can recognize the measures sequentially with low computational complexity and high recognition rate.
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