Abstract
Ishara-Bochon, the first multipurpose comprehensive open access isolated digits dataset for Bangladeshi Sign Language (BdSL) is introduced in this article. Sign language digits is a major part of communication for deaf and hearing impaired people. It is important in their everyday stuff, such as – in routine accounting and to interact with general people. Ishara-Bachon dataset contains 100 sets of 10 Bangla basic sign digits (0, 1, 2 . . . 9), collected from different deaf and general volunteers from different institutes. After discarding maximum errors and performing different preprocessing methods, 1000 images of Bangla sign language isolated digits were included in the first dataset. After collectiong raw data, some effective preprocessing methods were performed for making those data useable for computer vision model and any other application development purposes.
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Acknowledgement
I would like to express my heartiest appreciation to all those who provided us the possibility to complete this research under the Daffodil International University. A special gratitude we give to Daffodil International University NLP and Machine Learning Research LAB for their instructions and support. Furthermore, I would also like to acknowledge that, this research partially supported by Bijaynagar Deaf School, Mirpur Deaf School, Mymensing Deaf School and all of the volunteers team who gave permission to collect valuable data. Any errors are our own and should not tarnish the reputations of these esteemed persons.
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Islam, M.S., Mousumi, S.S.S., Jessan, N.A., Rabby, A.S.A., Abujar, S., Hossain, S.A. (2019). Ishara-Bochon: The First Multipurpose Open Access Dataset for Bangla Sign Language Isolated Digits. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_37
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DOI: https://doi.org/10.1007/978-981-13-9181-1_37
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