Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mobile-Based Indian Currency Detection Model for the Visually Impaired Subject The topic of the resource CNN; Currency detection; Edge detection; Image processing; Mobile application; Visually impaired Description An account of the resource 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. Creator An entity primarily responsible for making the resource Pathak A.; Aurelia S. Source A related resource from which the described resource is derived EAI/Springer Innovations in Communication and Computing, pp. 67-79. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-41368-2_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-41368-2_3</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090536135&amp;doi=10.1007%2F978-3-030-41368-2_3&amp;partnerID=40&amp;md5=15786d93a5007e5718b6cf77c570bbda" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090536135&amp;doi=10.1007%2f978-3-030-41368-2_3&amp;partnerID=40&amp;md5=15786d93a5007e5718b6cf77c570bbda</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25228595 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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