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Reseach Article

Design of ATM Accessing System for Blind using Real-Time Video Processing through Gestures

by Shruthi.g, Sarayu.k.p
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 11
Year of Publication: 2015
Authors: Shruthi.g, Sarayu.k.p
10.5120/21115-3941

Shruthi.g, Sarayu.k.p . Design of ATM Accessing System for Blind using Real-Time Video Processing through Gestures. International Journal of Computer Applications. 119, 11 ( June 2015), 47-49. DOI=10.5120/21115-3941

@article{ 10.5120/21115-3941,
author = { Shruthi.g, Sarayu.k.p },
title = { Design of ATM Accessing System for Blind using Real-Time Video Processing through Gestures },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 11 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 47-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number11/21115-3941/ },
doi = { 10.5120/21115-3941 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:47.935273+05:30
%A Shruthi.g
%A Sarayu.k.p
%T Design of ATM Accessing System for Blind using Real-Time Video Processing through Gestures
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 11
%P 47-49
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

About 285 million people are visually impaired worldwide: 39 million are blind and 246 million have low vision (severe or moderate visual impairment) preventable cause are as high as 80% of the total global visual impairment burden. Globally, uncorrected refractive errors are the main cause of visual impairment. Cataracts are the leading cause of blindness 65% of visually impaired, and 82% of blind people are over 50 years of age, although this age group comprises only 20% of the world population[1]. Blindness can be classified into 3 types, Complete blindness, Night blindness, Color blindness. The main problems faced by blind people: during financial transactions especially in ATMs. In the existing ATMs, Braille is inscribed on the keypad to facilitate blind. But, What if the people doesn't know Braille, how 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. So, we propose to design and develop a safer and secure ATM accessing system for the blind.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ATM Machines Hand Gesture Recognition Blind Image Processing