Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/9564
Title: | Currency Denomination Identification using Mask-RCNN |
Authors: | Bajania, Tejaskumar |
Keywords: | Computer 2018 Project Report 2018 Computer Project Report Project Report 18MCEN 18MCEN17 NT NT 2018 CE (NT) |
Issue Date: | 1-Jun-2020 |
Publisher: | Institute of Technology |
Series/Report no.: | 18MCEN17; |
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. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/9564 |
Appears in Collections: | Dissertation, CE (NT) |
Files in This Item:
File | Description | Size | Format | |
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18MCEN17.pdf | 18MCEN17 | 10.99 MB | Adobe PDF | ![]() View/Open |
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