How to extract features from ROIs of palmprint?
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I am working on palmprint authentication, i have captured the palm images and have done the preprocessing and the ROI extraction. Now i have to extract features from the ROI such as 'principle lines' and then later use this for matching.
So how do i extract these features and find accuracy of matching using these features? Any suggestion or the code regarding this shall be appreciated.
5 Kommentare
May Yadanar Moe
am 27 Aug. 2018
Hello sir,I have some difficulties in palm print principal line extraction and matching in my mini thesis and due date of that is closer and closer...so would u like to help and give me code of it.plz send it to me mayyadanar25@gmail.com
Image Analyst
am 27 Aug. 2018
May, what is your thesis about? It's not about developing an algorithm for finding the palm lines, is it? Because if that were the case I don't think you can turn in someone else's code, unless it's just as a comparative example to show how your algorithm is better.
What is your definition of "principal line"? Is it the main axis of the hand, like if you did principal components analysis? Or is it to find all the major creases in the palm?
Have you looked at any of the papers I referred the poster(s) to?
Antworten (2)
Image Analyst
am 7 Mai 2016
This has been done before. Simply follow published algorithms: http://www.visionbib.com/bibliography/people944.html#Palmprints,%20Hand%20Structure,%20Recognition,%20Systems. Or if you want to invent your own, you're free to do that. Good luck.
2 Kommentare
Image Analyst
am 8 Mai 2016
I have not read any of the papers. So I'd have to do the same as what you would have to do - review some papers. And since it's your project, not mine, I'll let you do that.
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