Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features

Savitri Apparao Nawade, Mallikarjun Hangarge, Chitra Dhawale, Md. Mamun Ibne Reaz, Rajmohan Pardeshi, Norhana Arsad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automatic recognition of musical symbols received huge attention in the last two decades. Most of the work is carried out for the recognition of printed symbols whereas little attention is given to handwritten symbols. In handwritten musical symbols, when we deal with historical and old handwritten musical symbols, the problem becomes more challenging. In this paper, we have dealt with recognition ofold handwritten musical symbols. In our method, we have used directional multi-resolution statistical descriptors by combining Radon Transform, Discrete Wavelet Transform, and Statistical Filters. Simple k-NN classifier is used with fivefold cross validation. We have achieved encouraging results on our dataset.

Original languageEnglish
Title of host publication2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648360
DOIs
Publication statusPublished - 15 Nov 2018
Event2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018 - Shah Alam, Malaysia
Duration: 11 Jul 201812 Jul 2018

Other

Other2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
CountryMalaysia
CityShah Alam
Period11/7/1812/7/18

Fingerprint

Discrete wavelet transforms
Radon
symbol
Classifiers
music
Mathematical transformations

Keywords

  • Discrete Wavelet Transform
  • k-NN Classifier
  • Optical Music Symbol Recognition
  • Radon Transform
  • Statistical Filters

ASJC Scopus subject areas

  • Signal Processing
  • Social Sciences (miscellaneous)
  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Nawade, S. A., Hangarge, M., Dhawale, C., Ibne Reaz, M. M., Pardeshi, R., & Arsad, N. (2018). Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features. In 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018 [8538370] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSCEE.2018.8538370

Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features. / Nawade, Savitri Apparao; Hangarge, Mallikarjun; Dhawale, Chitra; Ibne Reaz, Md. Mamun; Pardeshi, Rajmohan; Arsad, Norhana.

2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8538370.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nawade, SA, Hangarge, M, Dhawale, C, Ibne Reaz, MM, Pardeshi, R & Arsad, N 2018, Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features. in 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018., 8538370, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018, Shah Alam, Malaysia, 11/7/18. https://doi.org/10.1109/ICSCEE.2018.8538370
Nawade SA, Hangarge M, Dhawale C, Ibne Reaz MM, Pardeshi R, Arsad N. Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features. In 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8538370 https://doi.org/10.1109/ICSCEE.2018.8538370
Nawade, Savitri Apparao ; Hangarge, Mallikarjun ; Dhawale, Chitra ; Ibne Reaz, Md. Mamun ; Pardeshi, Rajmohan ; Arsad, Norhana. / Old Handwritten Music Symbol Recognition Using Directional Multi-Resolution Spatial Features. 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
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