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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hasan, S.M.K., Ahmad, M.: A new approach of sign language recognition system for bilingual users. In: 2015 International Conference on Electrical & Electronic Engineering (ICEEE). IEEE (2015)
Rahaman, M.A.: Real-time computer vision-based Bengali Sign Language recognition. In: 2014 17th International Conference on Computer and Information Technology (ICCIT). IEEE (2014)
Hasan, M.M.: Hand sign language recognition for Bangla alphabet based on Freeman Chain Code and ANN. In: 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). IEEE (2017)
Yasir, F.: Sift based approach on Bangla sign language recognition. In: 2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA). IEEE (2015)
Shahriar, R.: A communication platform between Bangla and sign language. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE (2017)
Sarkar, B.: A translator for Bangla text to sign language. In: 2009 Annual IEEE India Conference (INDICON). IEEE (2009)
Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv:1412.6980 [cs.LG], December 2014
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-9181-1_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9180-4
Online ISBN: 978-981-13-9181-1
eBook Packages: Computer ScienceComputer Science (R0)