Abstract
In today’s world visually challenged person are 6.6 trillion in number and its keep on increasing every year. Through survey it is found that in today’s life it’s been very challenging for them to live. To help them we have designed a new product called Blind Book reader system. It’s a simple solution to make the blind people to read books, newspapers when they are in need. A webcam will be connected to the processor which will take photo copy of the newspaper. This image will be converted into text and then converted into voice. This voice output will be in English format which is an existing one. The best part of our project is this English voice can be translated into our local languages such as Tamil, Malayalam, Telugu, Kannada and Hindi etc. The main goal of this research chapter is to introduce a new device for visually challenged people to read the content from printed or handwritten paper. The entire system has been done with OCR algorithm. Results proved that OCR works better than existing algorithms in terms of accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aravind, S., Roshna, E.: A text reading system for the visually disabled. Int. J. Res. Comput. Appl. Manag. 3(12), 148–150 (2013)
Shirly Edward, A., Jothimani, A., Jayaprakash, V., Joe Benhur, X.F.: Text-to-speech device for visually impaired people. Int. J. Pure Appl. Math. 119(15), 1061–1067 (2018)
Therese, J., Justina, B., Ri Smy, C.J., Rajeswari, M.: Blind reader. Int. J. Curr. Eng. Sci. Res. (IJCESR) 5(2), 13–17 (2018)
Bedi, P., Goyal, S.B., Rajawat, A.S., Shaw, R.N., Ghosh, A.: A framework for personalizing atypical web search sessions with concept-based user profiles using selective machine learning techniques. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 279–291. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_23
Samanta, D., et al.: SET based logic realization of a robust spatial domain image watermarking. In: 2008 International Conference on Electrical and Computer Engineering, pp. 986–993 (2008). https://doi.org/10.1109/ICECE.2008.4769356
Goyal, S.B., et al.: Smart luminaires for commercial building by application of daylight harvesting systems. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 293–305. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_24
Saravanan, D., Nirmala Sugirtha Rajini, S., Dharmarajan, K.: Efficient image data extraction using image clustering technique. Test Eng. Manag. 14574–14579 (2020). Issn 0193 – 4120
Palimkar, P., et al.: Unique action identifier by using magnetometer, accelerometer and gyroscope: KNN approach. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 607–631. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_48
Lakshmi, K., Chandra Sekhar Rao, T.: Design and implementation of text to speech conversion using raspberry pi. (IJITR) Int. J. Innov. Technol. Res. 4(6), 4564–4567 (2016)
Geetha, M.N., Sheethal, H.V., Sindhu, S., Ayesha, S.J., Chandan, H.C.: Survey on smart reader for blind and visually impaired (BVI). Indian J. Sci. Technol. 12(48), 1–4 (2019)
Chakraborty, A., Chatterjee, S., Majumder, K., Shaw, R.N., Ghosh, A.: A comparative study of myocardial infarction detection from ECG data using machine learning. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 257–267. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_21
Sanjana, B., Rejinaparvin, J.: Voice assisted text reading system for visually impaired persons using Tts method. IOSR J. Vlsi Signal Process. (Iosr-Jvsp) 6(3), 15–23 (2016)
Goyal, S.B., Bedi, P., Rajawat, A.S., Shaw, R.N., Ghosh, A.: Multi-objective fuzzy-swarm optimizer for data partitioning. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds.) Advanced Computing and Intelligent Technologies. LNNS, vol. 218, pp. 307–318. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-2164-2_25
Singh, P., Bhardwaj, S., Dixit, S., Shaw, R.N., Ghosh, A.: Development of prediction models to determine compressive strength and workability of sustainable concrete with ANN. In: Mekhilef, S., Favorskaya, M., Pandey, R.K., Shaw, R.N. (eds.) Innovations in Electrical and Electronic Engineering. LNEE, vol. 756, pp. 753–769. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0749-3_59
Veena, G., Nirmala Sujirtha Rajini, S.: Authenticated technologies for visually challenged candidates. Int. J. Comput. Algorithm 03, 1043–1047 (2014)
Author information
Authors and Affiliations
Corresponding author
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
Hemalatha, B., Karthik, B., Balaji, S., Vijayalakshmi, G., Shaw, R.N. (2022). A Novel Approach for Blind - Image to Audio Conversion in Regional Language. In: Mekhilef, S., Shaw, R.N., Siano, P. (eds) Innovations in Electrical and Electronic Engineering. ICEEE 2022. Lecture Notes in Electrical Engineering, vol 894. Springer, Singapore. https://doi.org/10.1007/978-981-19-1677-9_58
Download citation
DOI: https://doi.org/10.1007/978-981-19-1677-9_58
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1676-2
Online ISBN: 978-981-19-1677-9
eBook Packages: EnergyEnergy (R0)