Abstract
Today, with this fast-changing world, portability is one of the critical factors for consumers when choosing a personal computer (PC). Still, the conventional hardware keyboard is a significant limitation in desktops and notebooks. Virtual keyboard prototype solves hardware limitations of the keyboard by presenting an easy and economical alternative using minimum external hardware. In this paper, we have tried to design a virtual keyboard model, which is based on image processing using an inbuilt camera. After that, the basic framework of this can be modified to serve various types of augmented reality (AR), paper, and air keyboard 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
https://docs.opencv.org/3.4/da/d97/tutorial_threshold_inRange.html
https://www.ijert.org/reconfigurable-virtual-keyboard-based-on-image-processing (Year of Publication: 2015, vol 3, no 6, p 3, Conference-International Journal Of Engineering Research And Technology ,ISSN 2278–0181)
https://docs.opencv.org/master/d7/d4d/tutorial_py_thresholding.html
https://docs.opencv.org/3.4/d4/d73/tutorial_py_contours_begin.html
Virtual Keyboard. Int J Sci Eng Technol Res (IJSETR) 3(3). http://ijsetr.org/wp-content/uploads/2014/03/IJSETR-VOL-3-ISSUE-3-518-522.pdf
Priyanka I, Kogila M, Mohanapriya, Kumar V (2014) A survey on portable virtual keyboard based on threshold and perspective transform. IJERT 3(2); Naykodi T, Patil A, Sase K, Singh S (2015) Reconfigurable virtual keyboard based on image processing. In: ICONECT-2015 conference proceedings, special issue vol 3, no 6. https://www.ijert.org/a-survey-on-portable-virtual-keyboard-based-on-threshold-and-perspective-transform
Zhang Y, Yan W, Narayanan A (2017) A virtual keyboard implementation based on finger recognition. In: 2017 International conference on image and vision computing New Zealand (IVCNZ), Christchurch, 2017, pp 1–6. https://doi.org/10.1109/IVCNZ.2017.840245
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ghosh, P., Singhee, R., Karmakar, R., Maitra, S., Rai, S., Pal, S.B. (2022). Virtual Keyboard Using Image Processing and Computer Vision. In: Tavares, J.M.R.S., Dutta, P., Dutta, S., Samanta, D. (eds) Cyber Intelligence and Information Retrieval. Lecture Notes in Networks and Systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_7
Download citation
DOI: https://doi.org/10.1007/978-981-16-4284-5_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-4283-8
Online ISBN: 978-981-16-4284-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)