Evaluation of banknote identification methodologies based on local and deep features
by Leonardo P. Sousa; Rodrigo M.S. Veras; Luis H.S. Vogado; Laurindo S. Britto Neto; Romuere R.V. Silva; Flávio H.D. Araujo; Fátima N.S. Medeiros
International Journal of Innovative Computing and Applications (IJICA), Vol. 14, No. 1/2, 2023

Abstract: There are many people with disabilities; it is estimated that 39 million people are blind and 246 million have limited vision, giving 285 million visually impaired people. Information and communication technologies can help disabled people achieve greater independence, quality of life, and inclusion in social activities by increasing, maintaining, or improving their functional capacities. This paper presents a significant evaluation of local and deep features for an automatic methodology for identifying banknotes. To determine the best local features, we evaluated a set of four point-of-interest detectors, two descriptors, seven ways of generating the image signature, and six classification methodologies. To define the deep features, we extract features using three pre-trained well-known CNNs. Additionally, we evaluated using a hybrid approach formed by combining local and deep features. In this situation, the features were selected according to their gain ratios and used as input to the classifier. Experiments performed on US dollar (USD), euro (EUR), and Brazilian real banknotes (BRL) obtained accuracy rates of 99.96%, 99.12%, and 96.92%, respectively.

Online publication date: Tue, 07-Mar-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com