You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello,
Thank you for this excellent library.
I have tried it with Java and I could get right results when I compared two images which include fingerprint.
I want to know if there are any methods to be called to get the count of fingerprints in one image and the positions of every fingerprint in the image.
I also want to know if there are any methods to be called to get the quality of the fingerprint in one image. I saw the post here: https://sourceforge.net/p/sourceafis/discussion/1051112/thread/38d9d4ffea/?limit=25.
However, after I readed it, I still donot know how to get the quality of the fingerprint in my code.
The text was updated successfully, but these errors were encountered:
SourceAFIS does not have any built-in fingerprint quality metric. Use opensource NFIQ or NFIQ2 for that. Segmentation of multi-finger images is not supported either and I have no library recommendations for it. There is currently no plan to implement it.
robertvazan
changed the title
How to get the count of fingerprints in one image and the positions of every fingerprint in the image?
Segmentation of multi-finger images
Aug 12, 2021
Hello,
Thank you for this excellent library.
I have tried it with Java and I could get right results when I compared two images which include fingerprint.
I want to know if there are any methods to be called to get the count of fingerprints in one image and the positions of every fingerprint in the image.
I also want to know if there are any methods to be called to get the quality of the fingerprint in one image. I saw the post here: https://sourceforge.net/p/sourceafis/discussion/1051112/thread/38d9d4ffea/?limit=25.
However, after I readed it, I still donot know how to get the quality of the fingerprint in my code.
The text was updated successfully, but these errors were encountered: