Hi. I am currently working on a research project for mobile devices. The project is to create an app that must recognize if the image taken from the camera is a "dollar bill", after that the software needs to know what is the value of that note.
I think that should be done by comparing among other image mats stored on some file, or database and see what is the matching one. I've read a lot of papers and examples, most of them point that in some ways the image needs to be processed applying things like CannyEdge detection and other stuff. But now im not really sure which ones to use, and about the topic that recognition task could be classified on.
First Question: Which ones are the recommended Image Processing methods that i should use?
Second Question: What materials/topics related should i look to help me on the recognition part?
Second Question: What OpenCV(besides the initial part of Image Processing) have to auxiliate the task to classify if the image is a "dollar bill" and what it its values.
By "dollar bill" i mean it is "money" but not really dollar. http://www.papeldeparede.etc.br/wallpapers/novas-notas-de-real_5515_1024x768.jpg Here's a sample image of the notes that i need to classify, i was thinking on using something to check the colors. But im not sure if thats precise enough.
Thanks for the help.