A bidirectional text transcription of braille for odia, hindi, telugu and english via image processing on FPGA
Open accessAbstract
Communication gap establishes an aura of unwillingness of understanding the factor behind.Basically, this is one of the common agenda for the visually challenged people.In order to bridge this gap, a proper platform of learning for both the mass and the visually challenged for any native language is emphasized in this paper through Braille pattern.Braille, a code, well known to visually challenged as their mode of communication is now converted into normal text in Odia, Hindi, Telugu and English languages using Image segmentation as the base criteria with MATLAB as its simulation field so that every person can be able to easily decode the information being conveyed by these people.The algorithm makes the best use of segmentation, histogram analysis, pattern recognition, letter arrays, data base generation with testing in software and dumping in using Spartan 3e FPGA kit.This paper also elaborates on the reverse conversion of native languages and English to Braille making the paper to be more compatible.The processing speed with efficiency and accuracy defines the effective features of this paper as a successful approach in both software and hardware.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Shopping preparation makes it easy for users to buy from a list.
“It makes easy for users to buy from a list”
From Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies (2019) · cites this paper as [51]
Cites
Gomarasca, M. A. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9014-1_8 · Cited by 2,629 · see citing works
Book Review: Digital Image Processing, Third Edition
Masters, B. R., Gonzalez, R. C., & Woods, R. (2009) · Journal of Biomedical Optics · doi:10.1117/1.3115362 · Cited by 1,372 · see citing works
Color Image to Grayscale Image Conversion
Saravanan, C. (2010) · doi:10.1109/iccea.2010.192 · Cited by 297 · see citing works
Segmentation of touching and fused Devanagari characters
Bansal, V., & Sinha, R. M. K. (2002) · Pattern Recognition · doi:10.1016/s0031-3203(01)00081-4 · Cited by 135 · see citing works
k-nearest neighbor based offline handwritten Gurmukhi character recognition
Kumar, M., Jindal, M. K., & Sharma, R. K. (2011) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip.2011.6108863 · Cited by 79 · see citing works
Arabic Braille Recognition and transcription into text and voice
Alshamma, S., & Fathi, S. (2010) · Cairo International Biomedical Engineering Conference · doi:10.1109/cibec.2010.5716095 · Cited by 56 · see citing works
Conversion of Braille to Text in English, Hindi and Tamil Languages
Padmavathi, S., Manojna, K. S. S., Sphoorthy Reddy, S., & Meenakshy., D. (2013) · International Journal of Computer Science Engineering and Applications · doi:10.5121/ijcsea.2013.3303 · Cited by 45 · see citing works
The Research on Paper-Mediated Braille Automatic Recognition Method
Yin, J., Wang, L., & Li, J. (2010) · International Conference on Frontier of Computer Science and Technology (FCST) · doi:10.1109/fcst.2010.95 · Cited by 29 · see citing works
Novel methodology for Kannada Braille to speech translation using image processing on FPGA
Rupanagudi, S. R., Huddar, S. R., Bhat, V. G., Patil, S. S., & Bhaskar, M. K. (2014) · International Conference on Advances in Electrical Engineering · doi:10.1109/icaee.2014.6838445 · Cited by 24 · see citing works
Imprinted Braille-character pattern recognition using image processing techniques
Wajid, M., Abdullah, M. W., & Farooq, O. (2011) · International Conference on Image Information Processing (ICIIP) · doi:10.1109/iciip.2011.6108954 · Cited by 24 · see citing works
Optical Braille recognition with Haar wavelet features and Support-Vector Machine
Li, J., Yan, X., & Zhang, D. (2010) · International Conference on Computer, Mechatronics, Control and Electronic Engineering · doi:10.1109/cmce.2010.5610062 · Cited by 24 · see citing works
A novel approach for Braille images segmentation
Al‐Salman, A. S., El‐Zaart, A., Al-Salman, S., & Gumaei, A. (2012) · doi:10.1109/icmcs.2012.6320146 · Cited by 21 · see citing works
Reconstruction of Oriya Alphabets Using Zernike Moments
Tripathy, J. (2010) · International Journal of Computer Applications · doi:10.5120/1227-1785 · Cited by 19 · see citing works
An Efficient Braille Cells Recognition
Al‐Salman, A. S., El‐Zaart, A., Al-Suhaibani, Y., Al-Hokail, K., & Al-Qabbany, A. O. (2010) · International Conference on Computational Intelligence and Software Engineering (CiSE) · doi:10.1109/wicom.2010.5601020 · Cited by 17 · see citing works
Odia Braille: Text transcription via image processing
Parvathi, K., ., B. M. S., & Das, J. K. (2015) · International Conference on Futuristic Trends on Computational Analysis and Knowledge Management · doi:10.1109/ablaze.2015.7154983 · Cited by 17 · see citing works
“i” — A novel algorithm for optical character recognition (OCR)
Shastry, S., Gunasheela, G., Dutt, T., Vinay, D. S., & Rupanagudi, S. R. (2013) · International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing · doi:10.1109/imac4s.2013.6526442 · Cited by 15 · see citing works
An Optoelectronic Device to Read and Spell Braille-Braillect
Lachiver, G., Vachon, J.-P., & Seufert, W. D. (1984) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1984.325427 · Cited by 12 · see citing works
Enabling visually impaired to read messages from modern gadgets
Subbu, R., & Gnanaraj, P. (2012) · International Conference on Sensing Technology · doi:10.1109/icsenst.2012.6461730 · Cited by 9 · see citing works
Probabilistic estimation of Braille document parameters
Babadi, M. Y., Nasihatkon, B., Azimifar, Z., & Fieguth, P. (2009) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2009.5413816 · Cited by 9 · see citing works
BRAILLE TO TEXT AND SPEECH FOR CECITY PERSONS
., P. P. C. (2015) · International Journal of Research in Engineering and Technology · doi:10.15623/ijret.2015.0401039 · Cited by 7 · see citing works
Development of Pen-based Note-Taking System for Blind People
Ito, K., Itoh, K., Kiyota, K., & Ezaki, N. (2007) · International Conference on Innovative Computing, Information and Control · doi:10.1109/icicic.2007.263 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies
Elgendy, M., Sik-Lanyi, C., & Kelemen, A. (2019) · Applied Sciences · doi:10.3390/app9061061 · Cited by 48 · see citing works
“During shopping, audio feedback is given to PVI about shopping items using TTS.”
MethodText Translation of Scanned Hindi Document to Braille via Image Processing
Beg, U., Parvathi, K., & Jha, V. (2017) · Indian Journal of Science and Technology · doi:10.17485/ijst/2017/v10i33/112335 · Cited by 12 · see citing works
Nilesh, K., & Pundlikrao, N. (2017) · International Journal of Computer Applications · doi:10.5120/ijca2017914162 · Cited by 6 · see citing works
Enhancing Braille Accessibility: An Android Application for Indian Braille Transliteration
Parida, M., Sinha, M., Basu, A., & Dasgupta, T. (2023) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt58122.2023.00069 · Cited by 5 · see citing works
Braille Document Recognition in Southern Indian Languages– A Review
Devi, G. G., & Sathyanarayanan, G. (2018) · International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics · doi:10.1109/aeeicb.2018.8480950 · Cited by 3 · see citing works
Complete Forward and Reverse Text Transcription of Odia Braille and Hindi Braille
Jha, V., & Parvathi, K. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-6872-0_12 · Cited by 2 · see citing works
Parida, M., Bhattacharjee, S., Dasgupta, T., Sinha, M., & Basu, A. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2539439 · Cited by 1 · see citing works
Efficient Approach for Braille Conversion of Multilingual Text: Strategic Mapping Solutions
Gudi, G., Reddy, M. V., & Hanumanthappa, M. (2023) · International Journal of Engineering Technology and Management Sciences · doi:10.46647/ijetms.2023.v07i04.091 · Cited by 1 · see citing works
- Authors
- ., B. M. S.
- Corresponding author
- ., Bijet Maynoher Samal
- Venue
- International Journal of Research in Engineering and Technology
- Publisher
- eSAT Publishing House
- Published
- 2015-07-25
- Volume
- 04
- Issue
- 07
- Pages
- 483-494
- ISSN
- 2319-1163 (ISSN-L)
- 2321-7308
- OpenAlex
- W2518315455
- Cited by
- 8
- References
- 21
- Citations by year
- 2025: 1 · 2023: 2 · 2019: 1 · 2018: 2 · 2017: 2
- FWCI
- 0.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Research in Engineering and Technology (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Embedded Systems and FPGA Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Keywords
- Braille recognition, Braille to text conversion, image segmentation, histogram analysis, pattern recognition, FPGA implementation, Spartan-3E, Odia, Hindi, Telugu, English language, assistive technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
