Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/9564
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bajania, Tejaskumar | - |
dc.date.accessioned | 2021-01-06T04:49:10Z | - |
dc.date.available | 2021-01-06T04:49:10Z | - |
dc.date.issued | 2020-06-01 | - |
dc.identifier.uri | http://10.1.7.192:80/jspui/handle/123456789/9564 | - |
dc.description.abstract | Currency denomination identification works in identifying which type of currency is there in the image, with the help of Deep Learning and Tensorflow. It will identify the Indian currency denomination which are of 10,20,50,100,200,500,2000. The model will identify the class of the denomination(for example if it belongs to the class of 100). The model used here is Mask-RCNN. Here VGG polygon annotated data is used of COCO format. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 18MCEN17; | - |
dc.subject | Computer 2018 | en_US |
dc.subject | Project Report 2018 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 18MCEN | en_US |
dc.subject | 18MCEN17 | en_US |
dc.subject | NT | en_US |
dc.subject | NT 2018 | en_US |
dc.subject | CE (NT) | en_US |
dc.title | Currency Denomination Identification using Mask-RCNN | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (NT) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
18MCEN17.pdf | 18MCEN17 | 10.99 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.