neclatent1.cpp
3.42 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
#include <openbr_plugin.h>
#include <LatentEFS.h>
// necessary to allocate a large memory though the actual template size
// may be much smaller
#define MAX_TEMPLATE_SIZE 400000
namespace br
{
/*!
* \ingroup initializers
* \brief Initialize the NEC Latent SDK wrapper.
* \author Josh Klontz \cite jklontz
*/
class NECLatent1Initialier : public Initializer
{
Q_OBJECT
void initialize() const
{
Globals->abbreviations.insert("NECTenprint1", "Open+Cvt(Gray)+NECLatent1Enroll:NECLatent1Compare");
Globals->abbreviations.insert("NECLatent1", "Open+Cvt(Gray)+NECLatent1Enroll(true):NECLatent1Compare");
}
};
BR_REGISTER(Initializer, NECLatent1Initialier)
/*!
* \ingroup transforms
* \brief Enroll an NEC latent fingerprint.
* \author Josh Klontz \cite jklontz
* \warning Applications using this transform must have their working directory be the 'bin/win/32' folder of the NEC Latent SDK.
*/
class NECLatent1EnrollTransform : public UntrainableTransform
{
Q_OBJECT
Q_ENUMS(Algorithm)
Q_PROPERTY(bool latent READ get_latent WRITE set_latent RESET reset_latent STORED false)
Q_PROPERTY(Algorithm algorithm READ get_algorithm WRITE set_algorithm RESET reset_algorithm STORED false)
public:
enum Algorithm { LFML,
ELFT };
private:
BR_PROPERTY(bool, latent, false)
BR_PROPERTY(Algorithm, algorithm, LFML)
void project(const Template &src, Template &dst) const
{
if (src.m().type() != CV_8UC1) qFatal("Requires 8UC1 data!");
unsigned char data[MAX_TEMPLATE_SIZE];
int size = 0;
int error;
if (latent) {
if (algorithm == LFML) error = NEC_LFML_ExtractLatent(src.m().data, src.m().rows, src.m().cols, 500, data, &size);
else error = NEC_ELFT_ExtractLatent(src.m().data, src.m().rows, src.m().cols, 500, 4, data, &size);
} else {
if (algorithm == LFML) error = NEC_LFML_ExtractTenprint(src.m().data, src.m().rows, src.m().cols, 500, data, &size);
else error = NEC_ELFT_ExtractTenprint(src.m().data, src.m().rows, src.m().cols, 500, 2, data, &size);
}
if (!error) {
cv::Mat n(1, size, CV_8UC1);
memcpy(n.data, data, size);
dst.m() = n;
} else {
qWarning("NECLatent1EnrollTransform error %d for file %s.", error, qPrintable(src.file.flat()));
dst.m() = cv::Mat();
dst.file.set("FTE", true);
}
}
};
BR_REGISTER(Transform, NECLatent1EnrollTransform)
/*!
* \ingroup distances
* \brief Compare two NEC latent fingerprints
* \author Josh Klontz \cite jklontz
*/
class NECLatent1CompareDistance : public Distance
{
Q_OBJECT
Q_ENUMS(Algorithm)
Q_PROPERTY(Algorithm algorithm READ get_algorithm WRITE set_algorithm RESET reset_algorithm STORED false)
public:
enum Algorithm { LFML,
ELFT };
private:
BR_PROPERTY(Algorithm, algorithm, LFML)
float compare(const Template &a, const Template &b) const
{
if (!a.m().data || !b.m().data) return -std::numeric_limits<float>::max();
int score;
if (algorithm == LFML) NEC_LFML_Verify(b.m().data, b.m().total(), a.m().data, a.m().total(), &score);
else NEC_ELFT_Verify(b.m().data, a.m().data, &score, 2);
return score;
}
};
BR_REGISTER(Distance, NECLatent1CompareDistance)
} // namespace br
#include "neclatent1.moc"