Mobile-Based Indian Currency Detection Model for the Visually Impaired

Title

Mobile-Based Indian Currency Detection Model for the Visually Impaired

Creator

Pathak A.; Aurelia S.

Description

According to surveys held in 2019, India holds the largest population standing just after China, but when it comes to visually impaired people, India ranks number one. There are approximately 37 million people across India who are suffering from visual impairment. Special care and measures are taken to help these people live a peaceful life as any other citizen of India, but with the demonetization that happened in the recent years, the Indian economy was replaced with newer currency notes as an attempt to stop black money and fight corruption. Even though the objectives were clear and attainable, with the newer currency notes, the visually impaired people are facing various problems, as there is no provision for them to actually check the currency as the notes are not equipped with Braille system and the sizes of each and every currency is also the same in many cases. To counteract this problem, a mobile-based Indian currency detection model would be a better solution as it enables a visually impaired person to identify the value of specific currency he is holding. The mobile-based Indian currency detection model is the proposed model which will be using image processing for feature extraction and a basic CNN (convolutional neural network) for identification of currency with the given feature inputs. This model is being made into a mobile-based application so as to enable a visually impaired person to check for any possible frauds as fast as possible. 2020, Springer Nature Switzerland AG.

Source

EAI/Springer Innovations in Communication and Computing, pp. 67-79.

Date

2020-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

CNN; Currency detection; Edge detection; Image processing; Mobile application; Visually impaired

Coverage

Pathak A., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Aurelia S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 25228595

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-3-030-41368-2_3

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090536135&doi=10.1007%2f978-3-030-41368-2_3&partnerID=40&md5=15786d93a5007e5718b6cf77c570bbda