Optical Music Recognition

Roy, Pinkar (2018) Optical Music Recognition. MTech thesis.

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Abstract

Optical Music Recognition OMR refers to convert music scores into a machine interpretable form.Actually it is similar to Optical Character Recognition OCR problem.We have generated HOMUS dataset for recognition of music symbol.Staff line detection and removal is one of the main preprocessing steps for symbol recognition as recognition of symbol is easier after staff line removal.We proposed a new deterministic,robust staff line detection and removal technique that divides the music documents vertically into a number of strip and then path is computed using stable path approach method.Then paths are connceted between vertical strips where the paths deviation between vertical strips is less and thus resulting in detection of line of each path and remove those detected line.We have tested our algorithm on the dataset of the recent staff removal competition held under the International Conference of Document Analysis and Recognition(ICDAR) 2011.Experimentally it has been found that our algorithm gives better result in comparison to other existing approaches.In OMR for the recognition of music symbol HOMUS dataset is also generated

Item Type:Thesis (MTech)
Uncontrolled Keywords:Optical music recognition; Musical staff; Staff line detection; Staff line removal; Dynamic programming.
Subjects:Engineering and Technology > Computer and Information Science > Image Processing
Divisions: Engineering and Technology > Department of Computer Science Engineering
ID Code:9734
Deposited By:IR Staff BPCL
Deposited On:06 Feb 2019 16:20
Last Modified:06 Feb 2019 16:20
Supervisor(s):Bakshi, Sambit

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