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Journals >
Laser & Optoelectronics Progress >
Volume 57 >
Issue 18 >
Page 181024 > Article
Laser & Optoelectronics Progress
Vol. 57, Issue 18, 181024 (2020)
Fast Face Recognition Method Based on Sparse Representation
Wei Liu
*
and Hongwei Ge
Author Affiliations
Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education,
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DOI:
10.3788/LOP57.181024
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Wei Liu, Hongwei Ge. Fast Face Recognition Method Based on Sparse Representation[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181024
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Number of samples
4
5
6
7
8
9
DSRC
0.8734
0.9041
0.9233
0.9438
0.9459
0.9542
Our algorithm +DSRC
0.8738
0.9047
0.9234
0.9430
0.9465
0.9539
CRC
0.8300
0.8699
0.8852
0.9060
0.9135
0.9216
Our algorithm +CRC
0.8532
0.8903
0.9031
0.9220
0.9282
0.9363
CFFR
0.8709
0.8978
0.9153
0.9198
0.9274
0.9348
Our algorithm +CFFR
0.8765
0.9022
0.9228
0.9290
0.9362
0.9372
Table 1.
0 Recognition accuracy of different algorithms on FEI database
Number of samples
2
3
4
5
6
Time by DSRC /s
0.1636
0.1837
0.1893
0.1842
0.1673
Time by our algorithm +DSRC /s
0.1427
0.1580
0.1609
0.1531
0.1397
Improvement /%
12.8
14.0
15.0
16.9
16.5
Time by CRC /s
0.1753
0.1887
0.1953
0.1869
0.1681
Time by our algorithm +CRC /s
0.1485
0.1622
0.1633
0.1574
0.1440
Improvement /%
15.3
14.0
16.4
15.8
14.3
Time by CFFR /s
0.7912
0.9382
1.0780
1.2336
1.3746
Time by our algorithm +CFFR /s
0.6031
0.7752
0.8243
0.8304
0.9582
Improvement /%
23.7
17.4
23.5
32.7
30.3
Table 1.
Total CPU time used by different algorithms on ORL database
Number of samples
2
3
4
5
6
DSRC
0.8586
0.9186
0.9469
0.9618
0.9699
Our algorithm +DSRC
0.8593
0.9210
0.9474
0.9637
0.9731
CRC
0.8331
0.8937
0.9248
0.9473
0.9569
Our algorithm +CRC
0.8429
0.8990
0.9308
0.9490
0.9597
CFFR
0.8525
0.9119
0.9412
0.9588
0.9675
Our algorithm +CFFR
0.8543
0.9149
0.9453
0.9593
0.9678
Table 2.
Recognition accuracy of different algorithms on ORL database
Number of samples
3
4
5
6
7
8
9
Time by DSRC /s
0.2441
0.2582
0.2722
0.2784
0.2838
0.2764
0.2562
Time by our algorithm +DSRC /s
0.2097
0.2198
0.2240
0.2330
0.2410
0.2331
0.2196
Improvement /%
14.1
14.9
17.7
16.3
15.1
15.7
14.3
Time by CRC /s
0.2574
0.2726
0.2774
0.2909
0.2901
0.2869
0.2771
Time by our algorithm +CRC /s
0.2053
0.2223
0.2294
0.2495
0.2479
0.2459
0.2377
Improvement /%
20.2
18.5
17.3
14.2
14.5
14.3
14.2
Time by CFFR /s
1.1495
1.3233
1.6104
1.8953
1.9021
2.1621
2.2487
Time by our algorithm +CFFR /s
0.7986
1.0743
1.2399
1.3440
1.4918
1.5137
1.4171
Improvement /%
30.1
18.8
23.0
29.1
21.6
30.0
37.0
Table 3.
Total CPU time used by different algorithms on GT database
Number of samples
3
4
5
6
7
8
9
DSRC
0.6016
0.6564
0.6920
0.7229
0.7532
0.7735
0.7938
Our algorithm +DSRC
0.6025
0.6587
0.6940
0.7246
0.7545
0.7765
0.7944
CRC
0.5560
0.6052
0.6400
0.6677
0.6863
0.7091
0.7255
Our algorithm +CRC
0.5754
0.6275
0.6630
0.6914
0.7079
0.7316
0.7461
CFFR
0.6005
0.6422
0.6798
0.6960
0.7185
0.7351
0.7567
Our algorithm +CFFR
0.6026
0.6535
0.6919
0.7167
0.7355
0.7517
0.7695
Table 4.
Recognition accuracy of different algorithms on GT database
Number of samples
2
3
4
5
Time by DSRC /s
2.4190
2.3853
2.0332
1.5536
Time by our algorithm +DSRC /s
1.8543
1.9783
1.5901
1.2123
Improvement /%
23.3
17.1
21.8
21.0
Time by CRC /s
2.5401
2.4487
2.0805
1.6036
Time by our algorithm +CRC /s
1.9378
1.8501
1.6214
1.2563
Improvement /%
23.7
24.4
22.1
21.7
Time by CFFR /s
20.806
29.563
30.309
25.937
Time by our algorithm +CFFR /s
11.693
16.080
17.349
15.313
Improvement /%
43.8
45.6
42.8
41.0
Table 5.
Total CPU time used by different algorithms on FERET database
Number of samples
2
3
4
5
DSRC
0.6580
0.6163
0.7900
0.8050
Our algorithm +DSRC
0.6616
0.6179
0.7880
0.8075
CRC
0.5850
0.5088
0.5633
0.7050
Our algorithm +CRC
0.5941
0.5194
0.5835
0.7218
CFFR
0.6250
0.5400
0.6400
0.7400
Our algorithm +CFFR
0.6187
0.5380
0.6590
0.7408
Table 6.
Recognition accuracy of different algorithms on FERET database
Number of samples
6
8
10
12
14
16
Time by DSRC /s
7.4461
7.9700
9.8029
9.2190
8.7380
7.9250
Time by our algorithm +DSRC /s
4.8771
5.3489
6.4290
6.2580
6.2520
5.8150
Improvement /%
34.5
32.9
34.4
32.1
28.5
26.6
Time by CRC /s
7.6164
8.0459
9.9790
9.7641
9.0446
8.1810
Time by our algorithm +CRC /s
5.0030
5.3794
6.5099
6.6222
6.5253
6.0345
Improvement /%
34.3
33.1
34.7
32.2
27.8
26.2
Time by CFFR /s
99.132
121.367
135.631
148.894
153.322
150.028
Time by our algorithm +CFFR /s
46.314
57.443
63.904
71.823
81.380
82.083
Improvement /%
53.2
52.7
52.9
51.8
46.9
45.3
Table 7.
Total CPU time used by different algorithms on AR database
Number of samples
6
8
10
12
14
16
DSRC
0.6617
0.6375
0.5922
0.7363
0.8903
0.9192
Our algorithm +DSRC
0.6721
0.6451
0.6014
0.7378
0.8951
0.9200
CRC
0.6496
0.6472
0.6083
0.6345
0.8264
0.8692
Our algorithm +CRC
0.6600
0.6512
0.6131
0.6676
0.8548
0.8808
CFFR
0.7071
0.7042
0.6625
0.7399
0.8944
0.9167
Our algorithm +CFFR
0.6908
0.6963
0.6589
0.7554
0.9090
0.9267
Table 8.
Recognition accuracy of different algorithms on AR database
Number of samples
4
5
6
7
8
9
Time by DSRC /s
0.8243
0.8512
1.0887
1.0885
0.9773
0.8304
Time by our algorithm +DSRC /s
0.4451
0.4641
0.5973
0.6369
0.5739
0.5003
Improvement /%
46.0
45.5
45.1
41.5
41.3
39.8
Time by CRC /s
0.8351
0.8335
1.0713
1.0201
0.9203
0.8090
Time by our algorithm +CRC /s
0.4862
0.4706
0.5871
0.5930
0.5558
0.4892
Improvement /%
41.8
43.5
45.2
41.9
39.6
39.5
Time by CFFR /s
4.9469
6.2430
7.2277
7.5782
7.3907
7.1898
Time by our algorithm +CFFR /s
2.2111
2.6602
3.0181
3.0523
3.1442
2.8095
Improvement /%
55.3
57.4
58.2
59.7
57.5
60.9
Table 9.
Total CPU time used by different algorithms on FEI database
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Wei Liu, Hongwei Ge. Fast Face Recognition Method Based on Sparse Representation[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181024
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Paper Information
Category: Image Processing
Received: Jan. 13, 2020
Accepted: Feb. 24, 2020
Published Online: Sep. 2, 2020
The Author Email: Liu Wei (936917605@qq.com)
DOI:
10.3788/LOP57.181024
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