I don't have any solid references here, but I'll describe some of my experiences using the
software with my current range of fingers and thumbs using a few different fingerprint
readers:
For the sensors which produce big images (UareU 4000 and AES2501), I have not yet seen a false
acceptance. You can get false rejections if you put effort into it -- rotating the finger
quite significantly or whatever, but really once you have scanned a few fingers and picked up
the technique it is unlikely that you will see false rejections on a frequent basis.
For the sensors that produce small images (AES4000, AES1610 and UPEKTC), the false rejection
rate is quite high. We need to tune the matching algorithms to perform better when comparing
fingerprints with less feature points. I have not tested AES1610 or UPEKTC myself, but I did
see my *first* false acceptance yesterday with AES4000. I probably have lowered the matching
threshold a little too far.
In all cases, the drivers will be improved to provide better images, and we should be able to
improve upon the fingerprint processing/matching code too.
For UPEKTS, the processing is done in hardware, and I have yet to see a false acceptance.
False rejections are not common unless you did not scan your finger well during the enrollment
process. This is useful because everything is done in hardware so we cannot tweak it :)