On 2020-01-13 11:34 p.m., Benson Muite wrote:
Speaking about howdy, I packaged it on COPR for testing purpose and
looking for improvement.
Great, may be of interest:
https://github.com/boltgolt/howdy/issues/233
I will take a look. Note that I fork the repo for improving upstream
codes and suggest them.
My initial worry is more on the security of the algorithms used in
howdy and their effectiveness, rather than correct packaging and linux
permissions. Internally Howdy uses convolutional neural networks (CNN
- http://dlib.net/cnn_face_detector.py.html) and OpenCV to find and
match faces. It would be nice if it had been subjected to stringent
tests such as those done by NIST:
https://pages.nist.gov/frvt/html/frvt1N.html
howdy use Histogram of Oriented Gradients by default instead CNN
according to its config.ini
https://github.com/boltgolt/howdy/blob/master/src/config.ini
see for example:
https://www.necam.com/AdvancedRecognitionSystems/NISTValidation/FingerprintFacial/
I am aware of fprintd but it is beyond my scope,
This is already packaged and has a wiki page:
https://koji.fedoraproject.org/koji/packageinfo?packageID=7228
https://fedoraproject.org/wiki/Features/Fingerprint
The source code of fprintd is at
https://gitlab.freedesktop.org/libfprint/fprintd
For fingerprints, there also seem to be standards:
https://www.nist.gov/programs-projects/fingerprint-recognition
and a NIST implementation:
https://www.nist.gov/services-resources/software/nist-biometric-image-software-nbis
Not sure if fprintd matches these standards, or if there is something
significantly better.
For biometric authentication applications such as fprintd and howdy,
maybe some kind of quality assurances are required, in particular for
hardware specifications and algorithm effectiveness, in addition to
the normal packaging procedure.
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Luya Tshimbalanga
Fedora Design Team
Fedora Design Suite maintainer
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