3-D multimodal fusion, 1
acceptability, 1
accumulator matrix, 1
accuracy , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
adaptive hard-switching network , 1
adaptive nonlinear fusion network , 1
adaptive weighted combination network,1
affine transformation, 1
approximate nearest neighbor, 1
arithmetic mean rule, 1
authentication, 1
back propagation, 1
basic ensemble method, 1
BATH, see Bath University , 1, 2, 3
Bath university, 1
Bayes risk, 1
Bayes theorem, 1
Bayesian classifier, 1
behavior knowledge space, 1
BEM, see basic ensemble method
bimodal fusion, 1
binarization, 1
binary classifer, 1
biometric indexing, 1
BMF, see bimodal fusion
borda count, 1
borda count method, 1
Burrows-Wheeler transform, 1
BWT, see Burrows-Wheeler transform
canadian passenger accelerated service system, 1
cancelable biometric, 1
candidate set , 1, 2, 3, 4, 5, 6–7, 8
canonical correlation analysis , 1, 2
CANPASS, see canadian passenger accelerated service system
capturability, 1
Cartesian coordinate, 1
CASIA, see chinese academy of sciences institute of automation
CASIA-IrisV3-Interval, 1
CASIA-IrisV4-Thousand, 1
CASIAV3I, see CASIA-IrisV3-Interval , 1, 2, 3, 4
CASIAV4T, see CASIA-IrisV4-Thousand , 1, 2, 3
CBSR, see center for biometrics and security research
CCA, see canonical correlation analysis,1
cdf, 1
center for biometrics and security research, 1
chinese academy of sciences institute of automation, 1
circular tessellation, 1
circumviability, 1
CKS, see clustered kd-tree search , 1, 2, 3, 4, 5, 6, 7
classifier, 1
CLEAR, 1
closest point triangulation, 1
clustered kd-tree index space , 1, 2
clustered kd-tree search, 1, 2
clustering, 1
CMC, see cumulative match characteristics,1, 2, 3, 4, 5, 6
CMS, see cumulative match score , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
CN, see crossing number, 1
coherence, 1
color FERET, 1
color filter, 1
color level transform, 1
commercial-off-the-shelf , 1–2, 3, 4
complexity, 1
concatenation, 1
construct validity, 1
continuous classification, 1
core, 1
cost, 1
COTS, see commercial-off-the-shelf , 1, 2, 3, 4
cross-modal fusion, 1
crossing number, 1
CS, see clustered search , 1, 2, 3, 4, 5, 6
cumulative distribution function , 1
cumulative match characteristics , 1
cumulative match score, 1
curvature, 1
dab print, 1
DARPA, see defense advanced research products agency
DCT, see discrete cosine transform
decision module, 1
decision tree, 1
defense advanced research products agency, 1
delaunay triangle, 1
delaunay triangulations, 1
department of homeland security , 1
DHS, see department of homeland security
discrete cosine transform, 1
distinctiveness, 1
downscaling, 1
efficiency , 1, 2, 3, 4, 5, 6, 7, 8
eigenface, 1
enroll, 1
ER, 1
erode, 1
ERR, see equal error rate , 1, 2, 3
Euclidean distance , 1, 2, 3, 4, 5, 6, 7, 8
even-symetric, 1
external validity, 1
eye coordinate, 1
eyelash, 1
eyelid, 1
face biometric data indexing , 1, 2
face detection, 1
face indexing, 1
face masking, 1
face recognition grand challenge , 1
facial recognition technology, 1
facial recognition vendor test, 1
failure to acquire, 1
failure to capture, 1
failure to enroll, 1
false accept rate, 1
false match rate, 1
false negative identification rate , 1
false non match rate, 1
false positive identification rate, 1
false reject rate, 1
FAR, see false accept rate, 1, 2
FBI, see federal bureau of investigation
feature descriptor , 1, 2, 3, 4, 5, 6
feature extraction module, 1
federal bureau of investigation, 1
FERET, see facial recognition technology,1, 2, 3, 4, 5, 6, 7
fingerprint biometric data indexing,1
fingerprint data indexing, 1
fingerprint identification system, 1
fingerprint indexing, 1
fingerprint mosaic, 1
fingerprint verification competition , 1, 2
fisher linear discriminant, 1
fixed fusion rule, 1
FLD, see fisher linear discriminant , 1
FMR, see false match rate, 1
FNIR, see false negative identification rate , 1, 2, 3, 4, 5, 6
FNMR, see false non match rate , 1
FPIR, see false positive identification rate , 1, 2, 3, 4, 5, 6
frequency, 1
frequency domain, 1
frequency spectrum, 1
FRGC, 1, see face recognition grand challenge, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
FRR, see false reject rate, 1, 2
FRVT, see facial recognition vendor test
FTA, see failure to acquire
FTC, see failure to capture
FTE, see failure to enroll
FVC, see fingerprint verification competition, 1, 2
FVC2004 DB1, 1
FVC2004 DB2, 1
FVC2004 DB3, 1
FVC2004 DB4, 1
Gabor, 1
Gabor energy feature , 1, 2, 3, 4, 5, 6, 7
Gabor filter , 1, 2, 3, 4, 5, 6
gait, 1
GAR, see genuine accept rate
gating network, 1
Gaussian envelope, 1
GCC, see gnu compiler collection , 1, 2
GEM, see generalized ensemble method,
generalized ensemble method, 1
genuine accept rate, 1
genuine reject rate, 1
geometric hashing, 1
gnu compiler collection, 1
GRR, see genuine reject rate
guided partitioning, 1
handedness, 1
hash generation, 1
hash table, 1
HG, see hash generation
Hilbert space, 1
histogram equalization, 1
hit rate, 1
HR, see hit rate , 1, 2–3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15–16, 17, 18, 19, 20, 21, 22
IAFIS, see integrated automated fingerprint identification system
see international biometric group, 1, 2
ICA, see independent component analysis
identification system , 1, 2, 3, 4
independent component analysis , 1
index, 1
index key , 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
index score, 1
index space , 1, 2, 3, 4, 5, 6, 7, 8, 9– 10
indexing , 1, 2, 3, 4, 5, 6–7, 8
infrared sensor, 1
integrated automated fingerprint identification system, 1
intensity enhancement, 1
inter ridge spacing, 1
internal validity, 1
international biometric group, 1
IRIS, see iris recognition immigration system
iris biometric data indexing, 1
iris color-based indexing, 1, 2
iris data indexing, 1
iris indexing, 1
iris localization, 1
iris normalization, 1
iris recognition, 1
iris recognition immigration system,1
k-means clustering , 1, 2, 3, 4, 5, 6, 7, 8, 9
Karhunen-Loève, 1
Karnaugh map, 1
KCCA, see kernel canonical correlation analysis, 1, 2
kd-tree , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
kd-tree structure, 1
kernel canonical correlation analysis,1, 2, 3
kernel fischer discriminant analysis,1
kernel trick, 1
key point descriptor, 1
KFDA, see kernel fischer discriminant analysis
KL, see Karhunen-Loève
KM, see Karnaugh map
Lagrange multiplier , 1, 2, 3, 4, 5
Laplacian of Gaussian, 1
latent semantic analysis, 1
LBP, see local binary pattern
LDA, see linear discriminant analysis,1
likelihood function, 1
linear, 1
linear discriminant analysis, 1, 2
linear index space , 1, 2, 3, 4
linear storing, 1
linear structure, 1
local binary pattern, 1
local frequency, 1
local orientation, 1
locality sensitive hashing, 1
localization, 1
logistic regression, 1
logistic regression method, 1
loop, 1
LS, see linear search , 1, 2, 3, 4, 5, 6
LSA, see latent semantic analysis
LSH, see locality sensitive hashing
map, 1
mask, 1
match-score level fusion, 1, 2
matching module, 1
MCC, see minutia cylinder-code , 1
mean value, 1
memory requirement , 1, 2, 3, 4, 5, 6, 7, 8, 9
Mercer condition, 1
min-max, 1
minimum cost Bayesian classifier , 1
minutia cylinder-code, 1
mixture-of-experts, 1
MLP, see multi layer perceptron , 1
MMU2, see Multimedia university , 1, 2, 3
MOE, see mixture-of-experts
multi layer perceptron, 1
multi-biometric, 1
multimap, 1
Multimedia university, 1
multimodal, 1
multimodal biometric , 1, 2, 3, 4
multimodal biometric data indexing,1, 2, 3, 4
multiplicity, 1
national institute of science and technology, 1
neural network, 1
Neyman-Pearson, 1
NIST, see national institute of science and technology
octave, 1
OpenCV, 1
optimal weighting method, 1
orientation , 1, 2, 3, 4, 5, 6, 7, 8
orientation assignment, 1
PCA, see principal component analysis,1, 2
PDF, see probability density function
penetration rate, 1
performance , 1, 2, 3, 4, 5, 6, 7
performance metric, 1
personal identification number, 1
PIN, see personal identification number
polar coordinate, 1
posterior probability, 1
PR, see penetration rate, 1, 2– 3, 4, 5, 6, 7, 8, 9, 10, 11, 12– 13, 14, 15, 16, 17, 18, 19
principal component analysis , 1, 2, 3, 4
privacy, 1
probability density function, 1
probe , 1, 2, 3, 4, 5, 6, 7, 8
pupil, 1
querying, 1
radial bias function, 1
rank , 1, 2, 3, 4, 5, 6, 7, 8, 9
ranking function, 1
RBF, see radial bias function
reduction of high-scores effect, 1
retrieving , 1, 2, 3, 4, 5, 6, 7, 8
reusability, 1
RGB, 1
RHE, see reduction of high-scores effect, 1, 2, 3
ridge filtering, 1
ridge frequency, 1
ridge orientation-based indexing , 1, 2
robustness, 1
ROC, 1
rubber sheet model, 1
sample , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
scalability, 1
scale face, 1
scale invariant, 1
scale invariant feature transform , 1
scatter matrix, 1
schiphol airport, 1
sclera, 1
score, 1
score level fusion, 1
score normalization, 1
searching time , 1, 2, 3, 4, 5, 6, 7, 8, 9
segmentation, 1
sensor module, 1
SIFT, see scale invariant feature transform, 1, 2
sigmoid, 1
signature, 1
signed pixel level difference histogram , 1
silhouette, 1
simple average, 1
singular point, 1
smoothing, 1
Sobel operator, 1
speed up robust feature , 1, 2, 3
SPLDH, see signed pixel level difference histogram
stability, 1
storage, 1
storing , 1, 2, 3, 4–5, 6–7, 8
subject , 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
support vector machine, 1
SURF, see speed up robust feature,1, 2, 3, 4, 5, 6, 7, 8
SVM, see support vector machine , 1, 2, 3, 4–5, 6, 7, 8, 9, 10, 11
sweep sensor, 1
tactile sensor, 1
tanh, 1
temporal, 1
thinning, 1
transportation security administration,1
TSA, see transportation security administration
UIDAI, see unique identification authority of india
unimodal biometric, 1
unique identification authority of india, 1
universality, 1
US visit, 1
user weighting, 1
YCbCr, 1
z-score, 1
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