A Sign Language Based ATM Accessing System for Visually Impaired

Authors

  • Saraswati I Warad Department of Electronics and Communication, Smt Kamala and Sri Venkappa M. Agadi College of Engineering & Technology, Gadag, India
  • Madhushree S Buradi Department of Electronics and Communication, Smt Kamala and Sri Venkappa M. Agadi College of Engineering & Technology, Gadag, India
  • Shubhashini S Patil Department of Electronics and Communication, Smt Kamala and Sri Venkappa M. Agadi College of Engineering & Technology, Gadag, India
  • Sneha G Javoor Department of Electronics and Communication, Smt Kamala and Sri Venkappa M. Agadi College of Engineering & Technology, Gadag, India
  • Maltesh I G Department of Electronics and Communication, Smt Kamala and Sri Venkappa M. Agadi College of Engineering & Technology, Gadag, India

Keywords:

ATM, ASL, Hand gesture, Earpiece, Text-to-speech, Sign language

Abstract

The blind population often face difficulties in accessing ATMs to withdraw money which forces them to visit bank. This often cause inconvenience to them. Though Braille inscribed keypads are provided to easier their use, usually impaired who might be braille- illiterate fail to use these systems. But what if people don’t know to insert a card? The friend accompanying him might get to know the password or someone else can come to know of his pin number. A stranger might try to help the blind win the trust and rob him. Hence, as an alternative a sign language based accessing system is proposed in this project.

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References

S. Shrenika and M. Madhu Bala, "Sign Language Recognition Using Template Matching Technique," 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), 2020, pp. 1-5, doi: 10.1109/ICCSEA49143.2020.9132899.

P. D. Rosero-Montalvo et al., "Sign Language Recognition Based on Intelligent Glove Using Machine Learning Techniques," 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM), 2018, pp. 1-5, doi: 10.1109/ETCM.2018.8580268.

M. Panwar, "Hand gesture based interface for aiding visually impaired," 2012 International Conference on Recent Advances in Computing and Software Systems, 2012, pp. 80-85, doi: 10.1109/RACSS.2012.6212702.

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Published

2021-06-15

How to Cite

[1]
S. I. Warad, M. S. Buradi, S. S. Patil, S. G. Javoor, and M. I. G, “A Sign Language Based ATM Accessing System for Visually Impaired”, pices, pp. 1-3, Jun. 2021.

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Articles