21.5.2.1 Biometrics, Active Recognition, Continuous Recognition, Mobile Device

Chapter Contents (Back)
Biometrics. Mobile Device.

Everitt, R.A.J.[Ross A.J.], McOwan, P.W.[Peter W.],
Java-based internet biometric authentication system,
PAMI(25), No. 9, September 2003, pp. 1166-1172.
IEEE Abstract. 0309
Typing style and a mouse based signature. BibRef

Ashbourn, J.[Julian],
Biometrics in the New World: The Cloud, Mobile Technology and Pervasive Identity,

Springer2014. ISBN 978-3-319-04158-2
WWW Link. 1404
Broad social areas, cloud computing, common ID. BibRef

Roth, J., Liu, X., Metaxas, D.N.,
On Continuous User Authentication via Typing Behavior,
IP(23), No. 10, October 2014, pp. 4611-4624.
IEEE DOI 1410
Authentication BibRef

Blanco-Gonzalo, R.[Ramon], Sanchez-Reillo, R.[Raul], Miguel-Hurtado, O.[Oscar], Bella-Pulgarin, E.[Eric],
Automatic usability and stress analysis in mobile biometrics,
IVC(32), No. 12, 2014, pp. 1173-1180.
Elsevier DOI 1412
Usability. Evaluation of mobile biometrics. Stress not major issue for handwriting. BibRef

Khoury, E.[Elie], El Shafey, L.[Laurent], McCool, C.[Christopher], Günther, M.[Manuel], Marcel, S.[Sébastien],
Bi-modal biometric authentication on mobile phones in challenging conditions,
IVC(32), No. 12, 2014, pp. 1147-1160.
Elsevier DOI 1412
Face authentication BibRef

Raja, K.B.[Kiran B.], Raghavendra, R., Vemuri, V.K.[Vinay Krishna], Busch, C.[Christoph],
Smartphone based visible iris recognition using deep sparse filtering,
PRL(57), No. 1, 2015, pp. 33-42.
Elsevier DOI 1505
Visible iris recognition BibRef

Raja, K.B.[Kiran B.], Raghavendra, R., Venkatesh, S.[Sushma], Busch, C.[Christoph],
Multi-patch deep sparse histograms for iris recognition in visible spectrum using collaborative subspace for robust verification,
PRL(91), No. 1, 2017, pp. 27-36.
Elsevier DOI 1609
Visible, iris, recognition BibRef

Galdi, C.[Chiara], Nappi, M.[Michele], Dugelay, J.L.[Jean-Luc],
Multimodal authentication on smartphones: Combining iris and sensor recognition for a double check of user identity,
PRL(82, Part 2), No. 1, 2016, pp. 144-153.
Elsevier DOI 1609
Sensor recognition BibRef

Galdi, C.[Chiara], Dugelay, J.L.[Jean-Luc],
FIRE: Fast Iris REcognition on mobile phones by combining colour and texture features,
PRL(91), No. 1, 2017, pp. 44-51.
Elsevier DOI 1609
BibRef
Earlier:
Fusing iris colour and texture information for fast iris recognition on mobile devices,
ICPR16(160-164)
IEEE DOI 1705
Noisy, iris, recognition. Databases, Image color analysis, Iris, Iris recognition, Lighting, Mobile handsets, Performance, evaluation BibRef

Gofman, M.I.[Mikhail I.], Mitra, S.[Sinjini],
Multimodal Biometrics for Enhanced Mobile Device Security,
CACM(59), No. 4, April 2016, pp. 58-65.
DOI Link 1604
BibRef

Guo, G., Wechsle, H., Shan, S., Poh, N.,
Guest Editorial Special Issue on mobile biometrics,
IET-Bio(5), No. 1, 2016, pp. 1-2.
DOI Link 1603
BibRef

Patel, V.M., Chellappa, R., Chandra, D., Barbello, B.,
Continuous User Authentication on Mobile Devices: Recent progress and remaining challenges,
SPMag(33), No. 4, July 2016, pp. 49-61.
IEEE DOI 1608
mobile computing BibRef

Samangouei, P.[Pouya], Patel, V.M.[Vishal M.], Chellappa, R.[Rama],
Facial attributes for active authentication on mobile devices,
IVC(58), No. 1, 2017, pp. 181-192.
Elsevier DOI 1703
Attributes BibRef

Najibi, M., Samangouei, P.[Pouya], Chellappa, R., Davis, L.S.,
SSH: Single Stage Headless Face Detector,
ICCV17(4885-4894)
IEEE DOI 1802
face recognition, feedforward neural nets, image classification, object detection, FDDB dataset, Pascal-Faces dataset, SSH fast, Proposals BibRef

Vazquez-Fernandez, E.[Esteban], Gonzalez-Jimenez, D.[Daniel],
Face recognition for authentication on mobile devices,
IVC(55, Part 1), No. 1, 2016, pp. 31-33.
Elsevier DOI 1612
Face recognition BibRef

Ahmed, N.U.[Nasir Udin], Cvetkovic, S.[Slobodan], Siddiqi, E.H.[Erfanul Hoque], Nikiforov, A.[Andrey], Nikiforov, I.[Ilia],
Combining iris and periocular biometric for matching visible spectrum eye images,
PRL(91), No. 1, 2017, pp. 11-16.
Elsevier DOI 1705
BibRef
Earlier:
Using fusion of iris code and periocular biometric for matching visible spectrum iris images captured by smart phone cameras,
ICPR16(176-180)
IEEE DOI 1705
Noisy, iris, recognition. Cameras, Databases, Gabor filters, High definition video, Image color analysis, Image segmentation, Iris recognition, iris code, local binary pattern, multimodal biometrics, noisy iris recognition, score level fusion, visible, spectrum BibRef

Ahuja, K.[Karan], Islam, R.[Rahul], Barbhuiya, F.A.[Ferdous A.], Dey, K.[Kuntal],
Convolutional neural networks for ocular smartphone-based biometrics,
PRL(91), No. 1, 2017, pp. 17-26.
Elsevier DOI 1705
Ocular, biometrics BibRef

Abate, A.F.[Andrea F.], Barra, S.[Silvio], Gallo, L.[Luigi], Narducci, F.[Fabio],
Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices,
PRL(91), No. 1, 2017, pp. 37-43.
Elsevier DOI 1705
Iris, recognition BibRef

Aginako, N.[Naiara], Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Martínez-Otzeta, J.M.[José María], Sierra, B.[Basilio],
Periocular and iris local descriptors for identity verification in mobile applications,
PRL(91), No. 1, 2017, pp. 52-59.
Elsevier DOI 1705
Local, descriptors BibRef


Calandra, D.M.[Davide Maria], di Martino, S.[Sergio], Riccio, D.[Daniel], Visconti, A.[Antonio],
Smartphone Based Pupillometry: An Empirical Evaluation of Accuracy and Safety,
CIAP17(II:433-443).
Springer DOI 1711
BibRef

Fagg, A., Lucey, S., Sridharan, S.,
Fast, Dense Feature SDM on an iPhone,
FG17(95-102)
IEEE DOI 1707
Computational modeling, Face, Feature extraction, Mobile handsets, Performance evaluation, Sparse matrices, Transforms BibRef

Perera, P., Patel, V.M.,
Towards Multiple User Active Authentication in Mobile Devices,
FG17(354-361)
IEEE DOI 1707
Conferences, Face, Gesture, recognition BibRef

Perera, P., Patel, V.M.,
Extreme Value Analysis for Mobile Active User Authentication,
FG17(346-353)
IEEE DOI 1707
Conferences, Face, Gesture, recognition BibRef

Boulkenafet, Z., Komulainen, J., Li, L., Feng, X., Hadid, A.,
OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations,
FG17(612-618)
IEEE DOI 1707
Authentication, Cameras, Databases, Face, Lighting, Mobile communication, Videos BibRef

Raja, K.B.[Kiran B.], Raghavendra, R., Busch, C.,
Collaborative representation of deep sparse filtered features for robust verification of smartphone periocular images,
ICIP16(330-334)
IEEE DOI 1610
Authentication BibRef

Raghavendra, R., Busch, C.,
Learning deeply coupled autoencoders for smartphone based robust periocular verification,
ICIP16(325-329)
IEEE DOI 1610
Databases BibRef

Buriro, A.[Attaullah], Crispo, B.[Bruno], Del Frari, F.[Filippo], Wrona, K.[Konrad],
Touchstroke: Smartphone User Authentication Based on Touch-Typing Biometrics,
BioFor15(27-34).
Springer DOI 1511
BibRef

Oravec, M., Sopiak, D., Jirka, V., Pavlovicová, J., Budiak, M.,
Clustering algorithms for face recognition based on client-server architecture,
WSSIP15(241-244)
IEEE DOI 1603
client-server systems. Mobile phone access. BibRef

Akhtar, Z.[Zahid], Micheloni, C.[Christian], Piciarelli, C.[Claudio], Foresti, G.L.[Gian Luca],
MoBio-LivDet: Mobile biometric liveness detection,
AVSS14(187-192)
IEEE DOI 1411
Face BibRef

Motlicek, P.[Petr], El Shafey, L.[Laurent], Wallace, R.[Roy], McCool, C.[Christopher], Marcel, S.[Sebastien],
Bi-modal authentication in mobile environments using session variability modelling,
ICPR12(1100-1103).
WWW Link. 1302
face and speaker authentication BibRef

Marcel, S.[Sébastien], McCool, C.[Chris], Matejka, P.[Pavel], Ahonen, T.[Timo], Cernocký, J.[Jan], Balasubramanian, V.[Vineeth], Panchanathan, S.[Sethuraman], Chan, C.H.[Chi Ho], Kittler, J.V.[Josef V.], Poh, N.[Norman], Fauve, B.[Benoît], Glembek, O.[Ondrej], Plchot, O.[Oldrich], Jancík, Z.[Zdenek], Larcher, A.[Anthony], Lévy, C.[Christophe], Matrouf, D.[Driss], Bonastre, J.F.[Jean-Francois], Lee, P.H.[Ping-Han], Hung, J.Y.[Jui-Yu], Wu, S.W.[Si-Wei], Hung, Y.P.[Yi-Ping], Machlica, L.[Lukáš], Mason, J.[John], Mau, S.[Sandra], Sanderson, C.[Conrad], Monzo, D.[David], Albiol, A.[Alberto], Albiol, A.[Antonio], Nguyen, H.[Hieu], Li, B.[Bai], Wang, Y.[Yan], Niskanen, M.[Matti], Turtinen, M.[Markus], Nolazco-Flores, J.A.[Juan Arturo], Garcia-Perera, L.P.[Leibny Paola], Aceves-Lopez, R.[Roberto], Villegas, M.[Mauricio], Paredes, R.[Roberto],
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation,
ICPR-Contests10(210-225).
Springer DOI 1008
BibRef

Choras, M.[Michal], Mroczkowski, P.[Piotr],
Recognizing Individual Typing Patterns,
IbPRIA07(II: 323-330).
Springer DOI 0706
BibRef

Onali, T.[Tatiana], Ginesu, G.[Giaime],
Transmission-Efficient Image-Based Authentication for Mobile Devices,
VLBV05(22-28).
Springer DOI 0509
BibRef

Bistarelli, S.[Stefano], Frassi, S.[Stefano], Vaccarelli, A.[Anna],
MOC via TOC Using a Mobile Agent Framework,
AVBPA05(464).
Springer DOI 0509
User ID on smart cards rather than PIN. BibRef

Araújo, L.C.F.[Lívia C. F.], Sucupira, L.H.R.[Luiz H. R.], Lizárraga, M.G.[Miguel G.], Ling, L.L.[Lee L.], Yabu-Uti, J.B.T.[Joao B. T.],
User Authentication through Typing Biometrics Features,
ICBA04(694-700).
Springer DOI 0505
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Biometrics, Iris Recognition Systems .


Last update:Nov 7, 2019 at 15:08:56