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Commit 413c0ddb authored by André Anjos's avatar André Anjos :speech_balloon:
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[doc] Create table for baselines with Vera and UTFVP

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......@@ -117,7 +117,7 @@ toolchain:
As the tool runs, you'll see printouts that show how it advances through
preprocessing, feature extraction and matching. In a 4-core machine and using
4 parallel tasks, it takes as around 2 hours to process this baseline with the
4 parallel tasks, it takes around 2 hours to process this baseline with the
current code implementation.
To complete the evaluation, run the commands bellow, that will output the equal
......@@ -153,13 +153,13 @@ toolchain, with comparison to the previous baseline:
* Feature extractor: Maximum Curvature, as explained in [MNM05]_
In a 4-core machine and using 4 parallel tasks, it takes as around 1 hour and
40 minutes to process this baseline with the current code implementation.
Results we obtained:
In a 4-core machine and using 4 parallel tasks, it takes around 1 hour and 40
minutes to process this baseline with the current code implementation. Results
we obtained:
.. code-block:: sh
$ ./bin/bob_eval_threshold.py --scores <path-to>/vera/rlt/NOM/nonorm/scores-dev --criterium=eer
$ ./bin/bob_eval_threshold.py --scores <path-to>/vera/mc/NOM/nonorm/scores-dev --criterium=eer
('Threshold:', 0.078274325)
FAR : 3.182% (1533/48180)
FRR : 3.182% (7/220)
......@@ -186,13 +186,40 @@ toolchain, with comparison to the previous baseline:
* Feature extractor: Wide Line Detector, as explained in [HDLTL10]_
In a 4-core machine and using 4 parallel tasks, it takes only around 5 minutes
minutes to process this baseline with the current code implementation.
Results we obtained:
.. code-block:: sh
$ ./bin/bob_eval_threshold.py --scores <path-to>/vera/rlt/NOM/nonorm/scores-dev --criterium=eer
$ ./bin/bob_eval_threshold.py --scores <path-to>/vera/wld/NOM/nonorm/scores-dev --criterium=eer
('Threshold:', 0.239141175)
FAR : 10.455% (5037/48180)
FRR : 10.455% (23/220)
HTER: 10.455%
Results for other Baselines
===========================
This package may generate results for other combinations of protocols and
databases. Here is a summary table for some variants (results are expressed the
the equal-error rate on the development set, in percentage):
======================== ================= ====== ====== ====== ======
Approach UTFVP Vera
------------------------------------------ ------------- -------------
Feature Extractor Post Processing B Full B Full
======================== ================= ====== ====== ====== ======
Maximum Curvature Histogram Eq.
Maximum Curvature None 3.2
Repeated Line Tracking Histogram Eq.
Repeated Line Tracking None 26.4
Wide Line Detector Histogram Eq. 8.2
Wide Line Detector None 10.4
======================== ================= ====== ====== ====== ======
WLD + HEQ (preproc) @ Vera/Full = 10.9%
Available Resources
-------------------
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