[1]LIU Biao,HUANG Rongrong,LIN He,et al.Research on braille music recognition based on convolutional neural networks[J].CAAI Transactions on Intelligent Systems,2019,14(1):186-193.[doi:10.11992/tis.201805002]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
14
Number of periods:
2019 1
Page number:
186-193
Column:
学术论文—机器感知与模式识别
Public date:
2019-01-05
- Title:
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Research on braille music recognition based on convolutional neural networks
- Author(s):
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LIU Biao1; 2; HUANG Rongrong1; LIN He1; SU Wei1
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1. School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China;
2. No.69230 Troops of PLA, Wusu 833000, China
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- Keywords:
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machine learning; braille music recognition; convolution neural network; deep learning; computer vision; image recognition; artificial intelligence; image processing
- CLC:
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TP39
- DOI:
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10.11992/tis.201805002
- Abstract:
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Blind musicians are confronted with the problems of manual conversion and low efficiency in the communication of musical works. The rapid development of information science and technology has provided many solutions to these problems. However, most of the recognition schemes for braille music works lack recognition efficiency and compatibility. In consideration of this deficiency, whereby traditional schemes rely heavily on artificial experience in braille music picture extraction, a convolution neural network-based recognition model has been developed. After preprocessing the sample data of braille music pictures through repeated iterative training, the recognition model was able learn the characteristics of music notation in braille music pictures. The experimental results showed the recognition effectiveness and strong generalization ability of the model, which provides a new idea for the recognition of braille music works.