ALB+0015
Key Laboratory of Machine Perception (Ministry of Education), Peking University
Technical performance report of automated latent fingerprint feature extraction and search software.
Last Updated: 25 October 2023
1 Participation Information
1.1 Names
Information in this section is provided by the participant.
- Participant Name: Key Laboratory of Machine Perception (Ministry of Education), Peking University
- ELFT Identifier:
ALB+0015
1.2 Dates
- Participation Agreement Date: 16 November 2022
- First Submission Date: 16 November 2022 (as version
0001
) - Final Submission Date: 10 October 2023 (as version
0015
) - Validation Date: 10 October 2023
- Completion Date: 16 October 2023
- Report Last Updated Date: 25 October 2023
1.3 Supplied Libraries and Configurations
Testing was completed using Ubuntu 20.04.3 LTS. Files provided by Key Laboratory of Machine Perception (Ministry of Education), Peking University are listed in Table 1.1.
Filename | MD5 Checksum | Size (MB) |
---|---|---|
amp.senc | 9755deb998a71d041671ddeb3dee693c | 20.2 |
config | a754aecea5d21679ace8acf75a1b98e6 | 0.0 |
fingere_bn.senc | 9a5eda04fcdb1fd96098b4c27eb2f99d | 0.0 |
fingere_bn2.senc | 7adbe79402300eb4f6c5e0442533f39a | 0.0 |
fingere_bn3.senc | de6be20c31e5cbf8c1547dc3c12c7e19 | 0.0 |
fingere.senc | fef7b1e2d7bbc96b427935ff7027c86d | 19.5 |
fingere2.senc | 22c5665fbd67a60b97ed51873b4b6a6c | 19.5 |
fingere3.senc | 6fac9afafe231e48587fa1af3db9f3bd | 19.5 |
fingerm.senc | 981492e8c478e7db59661a787fef4859 | 20.2 |
fingernetvpretrain.senc | b19c4a7bcd3d1f15e3b919242afafa2e | 17.4 |
fingero.senc | ef03c75e401e8f10da6c689ed2474e44 | 30.2 |
libdb_cxx-18.1.so | f25201e3f7c058fb8e1a09b6b9d492ec | 2.5 |
libdb_cxx-18.so | f25201e3f7c058fb8e1a09b6b9d492ec | 2.5 |
libdb_cxx.so | f25201e3f7c058fb8e1a09b6b9d492ec | 2.5 |
libdb-18.1.so | 6d7903b4f0bd25f021918e39e188bace | 2.3 |
libdb-18.so | 6d7903b4f0bd25f021918e39e188bace | 2.3 |
libdb.so | 6d7903b4f0bd25f021918e39e188bace | 2.3 |
libelft_ALB_0015.so | 303163a45e99a47ffe1b817f88a59b9e | 1.8 |
libfpnetwork.so | 17ff9482d68a6629dcc04f68301abefb | 0.5 |
libmkl_avx.so | 8a1d765597d12ff8c571228ba8b0457a | 53.1 |
libmkl_avx2.so | e10c1998c3efd9bc1047b9424ad948cd | 50.2 |
libmkl_avx512.so | d64b9a73e0a58a49c4941a1e613416c3 | 66.7 |
libmkl_core.so | 38f14c49ea5644817f4081281d560471 | 74.1 |
libmkl_core.so.2 | 38f14c49ea5644817f4081281d560471 | 74.1 |
libmkl_intel_lp64.so | f1e9fba723f46e442c2d9367bde62d73 | 21.1 |
libmkl_intel_lp64.so.2 | f1e9fba723f46e442c2d9367bde62d73 | 21.1 |
libmkl_sequential.so | 45ec716ea62f4e8301860bf050baa5ea | 29.1 |
libmkl_sequential.so.2 | 45ec716ea62f4e8301860bf050baa5ea | 29.1 |
libmkl_vml_avx.so.2 | e9e155698888ed078dbc1bdb8b112a75 | 15.9 |
libmkl_vml_avx2.so.2 | b8584610537579ecf99edc6c104d1937 | 15.1 |
libmkl_vml_avx512.so.2 | bf4534d87b69c0ba9861591bfd339a7d | 14.4 |
libopencv_core.so | 7bbc4eb74730622d5f696d9a58cebfac | 17.9 |
libopencv_core.so.4.6.0 | 7bbc4eb74730622d5f696d9a58cebfac | 17.9 |
libopencv_core.so.406 | 7bbc4eb74730622d5f696d9a58cebfac | 17.9 |
libopencv_dnn.so | de376ef2056d728e0d907ae780adc8f6 | 7.2 |
libopencv_dnn.so.4.6.0 | de376ef2056d728e0d907ae780adc8f6 | 7.2 |
libopencv_dnn.so.406 | 74671dd33e2e250179694cb8845dcd7d | 7.2 |
libopencv_imgcodecs.so | ef94d914aeaf57e67e7b5393905aa820 | 3.9 |
libopencv_imgcodecs.so.4.6.0 | ef94d914aeaf57e67e7b5393905aa820 | 3.9 |
libopencv_imgcodecs.so.406 | 8e6533a39599f9c38a7eed8bee326ecc | 3.9 |
libopencv_imgproc.so | 0302871c8b474fa911183c736a052230 | 30.6 |
libopencv_imgproc.so.4.6.0 | 0302871c8b474fa911183c736a052230 | 30.6 |
libopencv_imgproc.so.406 | c0e92f8b17be57e5ba6aa0642b600abb | 30.6 |
minutiaevpretrain.senc | 56d3c28d35980bdc3419fcfd0135f69b | 15.4 |
palm_bn.senc | aa51f91ee2263ffba3a57acb50d3e915 | 0.0 |
palme.senc | 17f09daef4bd8291350b4e4cebb5643a | 19.5 |
palmminutiae.senc | 54ad16fac827d81386b4d0ad6a2553c9 | 15.4 |
palmnetvpretrain.senc | 76c682473e56a54a9c08e8d65a02cb7f | 17.4 |
palmo.senc | 9b5cf333361a9edc0e28d9e6f254dd5f | 30.2 |
pha.senc | d12e6fbfb9a92f4fe51c53c19c46d941 | 20.2 |