Offline music symbol recognition using Daisy feature and quantum Grey wolf optimization based feature selection
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Offline music symbol recognition using Daisy feature and quantum Grey wolf optimization based feature selection Samir Malakar 1 & Manosij Ghosh 2 & Agneet Chaterjee 2 & Showmik Bhowmik 3 Ram Sarkar 2
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Received: 6 November 2019 / Revised: 4 July 2020 / Accepted: 13 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Handwritten music symbol recognition is considered by the research fraternity as a critical research problem. It becomes more critical when the symbols are collected from handwritten music sheets in offline mode. Most of the research findings, available in the literature, have tried to recognize the said symbols using various shape based features. But this approach limits system performance when we dealt with lookalike symbols such as half note, eight note and quarter note. To encounter this, in the present work we have used a texture based feature descriptor, called Daisy, for the said purpose. Though Daisy descriptor yields reasonably good recognition accuracy, but it generates a high dimensional feature vector. Hence, in this work, Quantum concept inspired Grey Wolf Optimization, named as QGWO, has been applied to select optimal feature subset from this high dimensional feature vector. We have applied the proposed method on six different standard music symbol datasets that include HOMUS, Capitan_score_uniform, Capitan_score_non-uniform, Fornés, Rebelo_real and Rebelo_synthetic datasets. On these datasets we have achieved recognition accuracies 93.07%, 99.22%, 99.20%, 99.49% and 100.00% respectively with 39.63%, 49.75%, 42.50%, 67.62%, 54.37% and 71.25% of actual feature dimension (i.e., 800) respectively. Additionally, we have compared our results with some state-of-the-art methods along with two recent deep learning based models, and it has been found that the present approach outperforms those. Keywords Music symbol recognition . Daisy descriptor . Quantum Grey wolf optimization . Feature selection
* Showmik Bhowmik [email protected] Extended author information available on the last page of the article
Multimedia Tools and Applications
1 Introduction Music, an organized vocal or instrumental sound (or both) that produces beauty of harmony and expression of emotion, has been reorganized in several music styles from ancient time. Since then music has been used for different purposes such as education or therapy. Also, music helps in preserving cultural heritage of any society and the importance of cultural diversity [4, 31, 36]. Information related to music is mostly transmitted over the generation through music sheet which were commonly prepared using traditional writing equipment viz. pen and paper before the inception of advanced technologies. Also, the era of radical advancement in information technology has caused digitization to profoundly invade into the field of music for its preservation, creation and distribution. As a result, large section of people related to the world of music use electronic devices and computer software products. Though
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