Currency Recognition System For Visually Impaired

Vrushali Sindhikar; Snehal Saraf; Ankita Sonawane; Shamali Thakare

Currency Recognition System For Visually Impaired

April 2017

Vol-3, Issue-2

Paper ID: 4599

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology

Keywords

Currency recognition SIFT Android application image processing

Abstract

In this paper we introduced a mobile system for currency recognition that recognizes Indian currency in different view and scale. In this paper, we developed a dataset for Indian currency on an Android Platform. After that we applied automatic mobile recognition system using a smart phone on the dataset using scale-invariant feature transform (SIFT) algorithm. SIFT has been developed to be the most robust and efficient local invariant feature descriptor. Color provides significant information and important values in the object description process and matching tasks. Many objects cannot be classified correctly without their color features. One of the most important problems come up against visual impaired people is currency identification especially for currency note. In this system we introduce a simple currency recognition system applied on Indian banknote.

License

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Author Information

#	Name	Institute / Affiliation
1	Vrushali Sindhikar	Matoshri College of Engineering and Research Center
2	Snehal Saraf	Matoshri College of Engineering and Research Center
3	Ankita Sonawane	Matoshri College of Engineering and Research Center
4	Shamali Thakare	Matoshri College of Engineering and Research Center

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sindhikar, Vrushali, Saraf, Snehal, Sonawane, Ankita, & Thakare, Shamali (2017). Currency Recognition System For Visually Impaired. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3264-3269.

MLA Style

Sindhikar, Vrushali, et al. "Currency Recognition System For Visually Impaired." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3264-3269.

IEEE Style

Vrushali Sindhikar, Snehal Saraf, Ankita Sonawane, and Shamali Thakare, "Currency Recognition System For Visually Impaired," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3264-3269, 2017.

Vancouver Style

Sindhikar Vrushali, Saraf Snehal, Sonawane Ankita, Thakare Shamali. Currency Recognition System For Visually Impaired. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3264-3269.

Harvard Style

Sindhikar, Vrushali, Saraf, Snehal, Sonawane, Ankita, & Thakare, Shamali (2017) 'Currency Recognition System For Visually Impaired', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3264-3269.

Chicago Style

Sindhikar, Vrushali, et al. "Currency Recognition System For Visually Impaired." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3264-3269.

Turabian Style

Sindhikar, Vrushali, et al. "Currency Recognition System For Visually Impaired." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3264-3269.