Signal and image processing for biometrics:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
London
ISTE
2012
Hoboken, NJ Wiley |
| Ausgabe: | 1. publ. |
| Schriftenreihe: | Digital signal and image processing series
|
| Schlagworte: | |
| Online-Zugang: | 80 Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XVI, 319 S. Ill., graf. Darst. |
| ISBN: | 9781848213852 |
Internformat
MARC
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| 245 | 1 | 0 | |a Signal and image processing for biometrics |c ed. by Amine Naït-Ali and Régis Fournier |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a London |b ISTE |c 2012 | |
| 264 | 1 | |a Hoboken, NJ |b Wiley | |
| 300 | |a XVI, 319 S. |b Ill., graf. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Digital signal and image processing series | |
| 500 | |a Literaturangaben | ||
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| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Naït-Ali, Amine |e Sonstige |4 oth | |
| 856 | 4 | |u http://www.loc.gov/catdir/enhancements/fy1215/2012017918-d.html |3 80 | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-025775931 | ||
Datensatz im Suchindex
| _version_ | 1804150131093667840 |
|---|---|
| adam_text | Table
of
Contents
Preface
........................................... xiii
Amine
Naît-
Ali and
Régis Fournier
Chapter
1.
Introduction
to Biometrics
....................... 1
Bernadette DoRizzi
1.1.
Background: from anthropometry to biometrics
.............. 1
1.2.
Biometrics today
................................. 2
1.3.
Different modes of use of
a biometrie
system and associated uses
... 3
1.4.
Biometrics as a pattern recognition problem
................ 4
1.4.1.
Capture module: from the
sensorio
the image
............. 5
1.4.2.
From the image to the features
...................... 6
1.4.3.
The matching
................................ 7
1.5.
Evaluation of different modalities
...................... 8
1.6.
Quality
....................................... 9
1.7.
Multimodality
.................................. 10
1.8.
Biometrics and preservation of privacy
................... 11
1.9.
Conclusion
.................................... 12
1.10.
Bibliography
.................................. 12
Chapter
2.
Introduction to 2D Face Recognition
................. 15
Amine
Naît-Ali
and
Dálila CHERIFI
2.1.
Introduction
.................................... 15
2.2.
Global face recognition techniques
...................... 16
2.2.1.
Principal component analysis
....................... 16
2.2.2.
Face recognition using PCA
....................... 19
2.2.3.
Linear discriminant analysis
....................... 24
2.2.4.
Face recognition using LDA
....................... 24
2.3.
Local face recognition techniques
...................... 25
vi
Signal
and Image Processing for Biometrics
2.3.1.
Geometric techniques
........................... 25
2.3.2.
Elastic graph matching techniques
.................... 26
2.4.
Hybrid face recognition techniques
...................... 28
2.5.
Some guidances
................................. 32
2.6.
Some databases
................................. 35
2.7.
Conclusion
.................................... 35
2.8.
Bibliography
................................... 36
Chapter
3.
Facial Soft Biometrics for Person Recognition
........... 39
Antitza Dantcheva,
Christelle
Yemdji, Petros
Elia
and Jean-Luc Dugelay
3.1.
Introduction to soft biometrics
........................ 39
3.1.1.
Domains of application
.......................... 40
3.1.2.
Related work
................................. 41
3.2.
Soft
biometrie
systems for human identification
.............. 42
3.2.1.
Spread of the category set
Φ
....................... 43
3.2.2.
Bounding
N
for a given interference probability
........... 45
3.2.3.
Simulation evaluation of the system in the interference-limited
setting of very high sensor resolution
...................... 47
3.3.
Overall error probability of a soft biometrics system
........... 48
3.3.1.
Perr of a soft
biometrie
system in a frontal-to-side
re-identification scenario
............................. 50
3.4.
Conclusions and future directions
....................... 53
3.5.
Bibliography
................................... 53
Chapter
4.
Modeling, Reconstruction and Tracking
for Face Recognition
.................................. 57
Catherine
Herold,
Vincent Despiegel,
Stephane Gentric,
Séverine
Dubuisson and
Isabelle Bloch
4.1.
Background
.................................... 57
4.1.1.
Applications of face recognition
..................... 58
4.1.2.
On-the-fly authentication
......................... 58
4.2.
Types of available information
........................ 61
4.2.1.
Information related to the acquisition system
............. 61
4.2.2.
Facial features
................................ 62
4.3.
Geometric approaches for the reconstruction
................ 63
4.3.1.
Stereovision
-
Multiview
......................... 63
4.3.2.
Shape from shading
............................ 65
4.4.
Model-based approaches for reconstruction
................. 67
4.4.1.
Modeling of the face
............................ 67
4.4.2.
Estimation of the model parameters
................... 70
4.5.
Hybrid approaches
................................ 76
4.6.
Integration of the time aspect
......................... 77
Table
of
Contents
vii
4.6.1.
Face tracking
................................ 77
4.6.2.
Static approach from video streams
................... 79
4.6.3.
Time consolidation from video streams
................. 81
4.7.
Conclusion
.................................... 82
4.8.
Bibliography
................................... 83
Chapter
5.3D
Face Recognition
........................... 89
Mohsen Ardabilian,
Przemysław
Szeptycki,
Di
Huang
and Liming Chen
5.1.
Introduction
.................................... 89
5.2. 3D
face databases
................................ 90
5.2.1.
FRGC
..................................... 91
5.2.2.
GavabDB
................................... 91
5.2.3.
3DTEC
.................................... 92
5.3. 3D
acquisition
.................................. 92
5.4.
Preprocessing and normalization
....................... 94
5.4.1.
Sensor noise processing
.......................... 95
5.4.2.
Processing of holes
............................. 96
5.4.3.
Localization of
anthropométrie
landmarks
............... 96
5.5. 3D
face recognition
............................... 101
5.5.1. 3D
face recognition based on local features matching:
a case study
..................................... 102
5.6.
Asymmetric face recognition
......................... 109
5.7.
Conclusion
.................................... 110
5.8.
Bibliography
...................................
Ill
Chapter
6.
Introduction to Ins Biometrics
..................... 117
Kamel
Aloui,
Amine
Naît-Ali, Régis Fournier
and Saber Naceur
6.1.
Introduction
.................................... 117
6.2.
Iris biometrie
systems
.............................. 118
6.3.
Iris recognition methods: state-of-the-art
.................. 119
6.4.
Preprocessing of iris images
.......................... 122
6.4.1.
Extraction of the region of interest
.................... 122
6.4.2.
Construction of the noise mask
...................... 123
6.4.3.
Normalization
................................ 124
6.5.
Features extraction and encoding
....................... 125
6.6.
Similarity measure between two IrisCodes
................. 126
6.7.
Iris biometrics: emerging methods
...................... 127
6.8.
Conclusion
.................................... 128
6.9.
Bibliography
................................... 128
viii Signal
and Image
Processing
for Biometrics
Chapter
7.
Voice Biometrics: Speaker Verification and Identification
... 131
Foezur Chowdhury, Sid-Ahmed Selouani
and Douglas O Shaughnessy
7.1.
Introduction
.................................... 131
7.1.1.
Voice
biometrie
techniques
........................ 132
7.1.2.
Challenge of speaker recognition on mobile devices
......... 133
7.2.
Acoustic analysis for robust speaker recognition
.............. 134
7.2.1.
Mel-frequency analysis
.......................... 135
7.2.2.
Wiener filtering for noise reduction
................... 137
7.3.
Distributed speaker recognition through UBM-GMM models
..... 138
7.3.1.
Bayesian adaptation to target models
.................. 139
7.3.2.
Scoring technique for speaker identification
.............. 140
7.3.3.
Likelihood ratio for speaker verification
................ 140
7.3.4.
Normalization of the verification score and Z-norm
......... 141
7.4.
Performance evaluation of DSIDV
...................... 142
7.4.1.
Corpus
.................................... 142
7.4.2.
Experimental protocol
........................... 142
7.4.3.
Experimental results
............................ 143
7.5.
Conclusion
.................................... 145
7.6.
Bibliography
................................... 146
Chapter
8.
Introduction to Hand Biometrics
................... 149
Régis
Fourmer and
Amine
Naît-
Ali
8.1.
Introduction
.................................... 149
8.2.
Characterization by minutiae extraction
................... 151
8.2.1.
Histogram equalization
.......................... 151
8.2.2.
Binarization
................................. 154
8.2.3.
Skeletonization (thinning)
......................... 156
8.2.4.
Detection of minutiae
........................... 157
8.2.5.
Matching
................................... 159
8.2.6.
Evaluation of performances
........................ 160
8.3.
A few databases
................................. 160
8.3.1.
Fingerprint verification competition
(FVC
2000,2002,2004, 2006).......................... 161
8.3.2.
CASIA
fingerprint
............................. 162
8.3.3.
Wet and wrinkled fingerprint
....................... 162
8.3.4.
The HK Polytechnic University fingervein image
database [HKF]
................................... 162
8.3.5.
CASIA palmprint
(visible/multispectral)
................ 162
8.3.6.
Database (THUPALMLAB)
....................... 163
8.4.
Conclusion
.................................... 165
8.5.
Bibliography
................................... 165
Table
of
Contents
ix
Chapter
9.
Multibiometrics
.............................. 167
Romain GlOT, Baptiste HEMERY, Estelle CHERRIER and
Christophe Rosenberger
9.1.
Introduction
.................................... 167
9.2.
Different principles of
multibiometrics
................... 169
9.3.
Fusion
levels...................................
171
9.3.1.
Capture fusion
................................ 171
9.3.2.
Feature
fusion
................................ 175
9.3.3.
Score fusion
................................. 177
9.3.4.
Fusion
of decision and rank........................
184
9.3.5.
Evaluation
.................................. 187
9.4.
Applications and illustrations
......................... 189
9.5.
Conclusion
.................................... 191
9.6.
Bibliography
................................... 192
Chapter
10.
Hidden Biometrics
............................ 195
Amine
Naît-Ali, Régis FOURNIER,
Kamel
ALOUI
and
Noureddíne Belgacem
10.1.
Introduction...................................
195
10.2.
Biometrics using
ECG
............................. 196
10.3.
Biometrics using EMG: preliminary experiments
............ 198
10.4.
Biometrics using medical imaging
..................... 200
10.4.1.
Biometrics using
MRI
images
...................... 200
10.4.2.
Biometrics with X-ray images
..................... 203
10.5.
Conclusion
................................... 205
10.6.
Bibliography
.................................. 205
Chapter
11.
Performance Evaluation of
Biometrie
Systems
.......... 207
Mohamad El Abed,
Romain
Giot,
Baptiste
Hemery,
Julien Mahier
and
Christophe ROSENBERGER
11.1.
Introduction
................................... 207
11.2.
Reminders on
biometrie
systems
...................... 208
11.2.1.
Biometrics
................................. 208
11.2.2.
Biometrie
characteristics
......................... 209
11.2.3.
Biometrie
models
............................. 209
11.2.4.
Enrollment, verification and identification
.............. 210
11.2.5.
Architecture of
a biometrie
system
................... 211
11.3.
Results analysis tools
............................. 212
11.3.1.
Performance of
biometrie
systems
................... 212
11.3.2.
Benchmarks
................................ 222
11.4.
Illustration of the GREYC-Keystroke system
............... 223
11.4.1.
Evaluation protocol
............................ 223
χ
Signal
and Image Processing for Biometrics
11.4.2.
Experimental results
........................... 226
11.5.
Conclusion
................................... 228
11.6.
Bibliography
.................................. 229
Chapter
12.
Classification Techniques for Biometrics
............. 231
Amel Bouchemha,
Chérif
Nait-Hamoud,
Amine
Naît-
Ali
and
Régis FOURNIER
12.1.
Introduction
................................... 231
12.2.
Generalization aptitude and performance measures
........... 232
12.3.
Parametric approaches
............................ 234
12.3.1.
Naïve
Bayesian classification
...................... 234
12.3.2.
Linear discriminant analysis
....................... 236
12.4.
Non-parametric approaches
......................... 241
12.4.1.
KNN classifier
............................... 241
12.4.2.
Classification using artificial neural networks
............ 243
12.4.3.
Support vector machine
......................... 250
12.5.
Conclusion
................................... 260
12.6.
Bibliography
.................................. 261
Chapter
13.
Data Cryptography
........................... 263
Islam Naveed and William PUECH
13.1.
Introduction
................................... 263
13.2.
Cryptography
.................................. 263
13.2.1.
Introduction to modern cryptography
................. 264
13.2.2.
Definitions
................................. 265
13.2.3.
Classification of modern crytography
................. 265
13.2.4.
Cryptanalysis
................................ 275
13.3.
Conclusion
................................... 276
13.4.
Bibliography
.................................. 276
Chapter
14.
Visual Data Protection
......................... 279
Islam Naveed and William Puech
14.1.
Introduction
................................... 279
14.2.
Visual data hiding
............................... 279
14.2.1.
Digital watermarking
........................... 280
14.2.2.
Digital fingerprinting
........................... 282
14.3.
A proposed homomorphism-based visual secret sharing scheme
. . . 284
14.3.1.
Image encryption procedure in the proposed scheme
........ 285
14.3.2.
The proposed image sharing scheme
.................. 285
14.3.3.
Experimental results and discussion
.................. 291
14.4.
Conclusion
................................... 294
14.5.
Bibliography
.................................. 294
Table of
Contents xi
Chapter
15.
Biometrics in Forensic«
......................... 297
Guillaume
Galou
and
Christophe
Lambert
15.1.
Introduction
................................... 297
15.2.
Facial comparison
............................... 298
15.2.1.
Biometrics dedicated to forensic approximation
........... 298
15.2.2.
The problem of facial comparison for forensic assessment
.... 299
15.3.
Voice comparison in forensics
........................ 301
15.3.1.
Introduction
................................ 301
15.3.2.
Particularities of the voice modality in the field
ofbiometrics
.................................... 302
15.3.3.
Voice comparison and forensic assessment
.............. 304
15.3.4.
Inference of identity in forensics
.................... 304
15.3.5.
Automatic voice comparison
...................... 306
15.3.6.
Conclusion
................................. 311
15.4.
Bibliography
.................................. 311
List of Authors
...................................... 313
Index
............................................ 317
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| language | English |
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| record_format | marc |
| series2 | Digital signal and image processing series |
| spelling | Signal and image processing for biometrics ed. by Amine Naït-Ali and Régis Fournier 1. publ. London ISTE 2012 Hoboken, NJ Wiley XVI, 319 S. Ill., graf. Darst. txt rdacontent n rdamedia nc rdacarrier Digital signal and image processing series Literaturangaben Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Biometrie (DE-588)4124925-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Bildverarbeitung (DE-588)4006684-8 s Signalverarbeitung (DE-588)4054947-1 s Biometrie (DE-588)4124925-2 s DE-604 Naït-Ali, Amine Sonstige oth http://www.loc.gov/catdir/enhancements/fy1215/2012017918-d.html 80 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025775931&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Signal and image processing for biometrics Signalverarbeitung (DE-588)4054947-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Biometrie (DE-588)4124925-2 gnd |
| subject_GND | (DE-588)4054947-1 (DE-588)4006684-8 (DE-588)4124925-2 (DE-588)4143413-4 |
| title | Signal and image processing for biometrics |
| title_auth | Signal and image processing for biometrics |
| title_exact_search | Signal and image processing for biometrics |
| title_full | Signal and image processing for biometrics ed. by Amine Naït-Ali and Régis Fournier |
| title_fullStr | Signal and image processing for biometrics ed. by Amine Naït-Ali and Régis Fournier |
| title_full_unstemmed | Signal and image processing for biometrics ed. by Amine Naït-Ali and Régis Fournier |
| title_short | Signal and image processing for biometrics |
| title_sort | signal and image processing for biometrics |
| topic | Signalverarbeitung (DE-588)4054947-1 gnd Bildverarbeitung (DE-588)4006684-8 gnd Biometrie (DE-588)4124925-2 gnd |
| topic_facet | Signalverarbeitung Bildverarbeitung Biometrie Aufsatzsammlung |
| url | http://www.loc.gov/catdir/enhancements/fy1215/2012017918-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025775931&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT naitaliamine signalandimageprocessingforbiometrics |