{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:59:20Z","timestamp":1726045160854},"publisher-location":"Cham","reference-count":69,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030269715"},{"type":"electronic","value":"9783030269722"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-26972-2_1","type":"book-chapter","created":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T10:02:41Z","timestamp":1569060161000},"page":"1-18","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Introduction to Selfie Biometrics"],"prefix":"10.1007","author":[{"given":"Ajita","family":"Rattani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reza","family":"Derakhshani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arun","family":"Ross","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,22]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Jain A, Ross A, Nandakumar A (2011) Introduction to biometrics. Springer Publishers","DOI":"10.1007\/978-0-387-77326-1"},{"key":"1_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/978-3-540-71629-7_50","volume-title":"Adaptive and natural computing algorithms","author":"S Han","year":"2007","unstructured":"Han S, Park H, Cho D, Park D, Lee S (2007) Face recognition based on near-infrared light using mobile phone. In: Beliczynski B, Dzielinski A, Iwanowski M, Ribeiro B (eds) Adaptive and natural computing algorithms, vol 4432. Lecture Notes in Computer Science. Springer, Heidelberg, pp 440\u2013448"},{"key":"1_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1007\/978-3-540-89646-3_81","volume-title":"Advances in visual computing","author":"S Jung","year":"2008","unstructured":"Jung S, Chung Y, Yoo J, Moon K (2008) Real-time face verification for mobile platforms. In: Bebis G, Boyle R, Parvin B, Koracin D, Remagnino P, Porikli F, Peters J, Klosowski J, Arns L, Chun Y, Rhyne T, Monroe L (eds) Advances in visual computing, vol 5359. Lecture Notes in Computer Science. Springer, Heidelberg, pp 823\u2013832"},{"key":"1_CR4","unstructured":"Tao Q, Veldhuis R (2006) Biometric authentication for a mobile personal device. In: Third annual international conference on mobile and ubiquitous systems: networking services, San Jose, CA, pp 1\u20133"},{"key":"1_CR5","unstructured":"Walgamage T, Farook C (2014) A real-time hybrid approach for mobile face recognition. In: International conference on intelligent systems, modelling and simulation, pp 1\u20136"},{"key":"1_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.imavis.2016.11.019","volume":"59","author":"A Rattani","year":"2017","unstructured":"Rattani A, Derakhshani R (2017) Ocular biometrics in the visible spectrum: a survey. Image Vis Comput 59:1\u201316","journal-title":"Image Vis Comput"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Rattani A, Derakhshani R (2017) On fine-tuning convolutional neural networks for smartphone based ocular recognition. In: IEEE international joint conference on biometrics (IJCB), pp 762\u2013767","DOI":"10.1109\/BTAS.2017.8272767"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Sankaran A, Malhotra A, Mittal A, Vatsa M, Singh R (2015) On smartphone camera based fingerphoto authentication. In: IEEE 7th international conference on biometrics theory, applications and systems, pp 1\u20137","DOI":"10.1109\/BTAS.2015.7358782"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Maiorana E, Campisi P, Gonz\u00e1lez-Carballo N, Neri A (2011) Keystroke dynamics authentication for mobile phones. In: ACM symposium on applied computing, New York, NY, USA, pp 21\u201326","DOI":"10.1145\/1982185.1982190"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Derawi MO, Nickel C, Bours P, Busch C (2010) Unobtrusive user-authentication on mobile phones using biometric gait recognition. In: Sixth international conference on intelligent information hiding and multimedia signal processing, pp 306\u2013311","DOI":"10.1109\/IIHMSP.2010.83"},{"issue":"4","key":"1_CR11","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1109\/TIM.2009.2037873","volume":"59","author":"Q Tao","year":"2010","unstructured":"Tao Q, Veldhuis R (2010) Biometric authentication system on mobile personal devices. IEEE Trans Instrum Measur 59(4):763\u2013773","journal-title":"IEEE Trans Instrum Measur"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Chen B, Shen J, Sun H (2012) A fast face recognition system on mobile phone. In: International conference on systems and informatics, Yantai, pp 1783\u20131786","DOI":"10.1109\/ICSAI.2012.6223389"},{"key":"1_CR13","unstructured":"Yang J, Chen X, Kunz W (2002) A PDA-based face recognition system. In: Sixth IEEE workshop on applications of computer vision, pp 19\u201323"},{"key":"1_CR14","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-642-16239-8_39","volume-title":"Artificial intelligence applications and innovations","author":"C Doukas","year":"2010","unstructured":"Doukas C, Maglogiannis I (2010) A fast mobile face recognition system for android os based on eigenfaces decomposition. In: Papadopoulos H, Andreou A, Bramer M (eds) Artificial intelligence applications and innovations, vol 339. IFIP Advances in Information and Communication Technology. Springer, Heidelberg, pp 295\u2013302"},{"issue":"3","key":"1_CR15","first-page":"889","volume":"2","author":"S Kumar","year":"2010","unstructured":"Kumar S, Singh P, Kumar V (2010) Architecture for mobile based face detection\/recognition. Int J Comput Sci Eng 2(3):889\u2013894","journal-title":"Int J Comput Sci Eng"},{"key":"1_CR16","unstructured":"Yu H (2010) Face recognition for mobile phone using eigenfaces. University of Michigan, Tech. rep"},{"key":"1_CR17","unstructured":"Findling RD, Mayrhofer R (2012) Towards face unlock: on the difficulty of reliably detecting faces on mobile phones. In: International conference on advances in mobile computing and multimedia, Bali, Indonesia, pp 275\u2013280"},{"key":"1_CR18","unstructured":"Kremic E, Subasi A, Hajdarevic K (2012) Face recognition implementation for client server mobile architecture. In: International conference on information technology interfaces, Dubrovnik, Croatia, pp 435\u2013440"},{"key":"1_CR19","unstructured":"Mukherjee S, Chen Z, Gangopadhyay A, Russell A (2008) A secure face recognition system for mobile-devices without the need of decryption. In: Workshop on secure knowledge management, pp 11\u201316"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Schneider C, Esau N, Kleinjohann L, Kleinjohann B (2006) Feature based face localization and recognition on mobile devices. In: International conference on control, automation, robotics and vision, Singapore, pp 1\u20136","DOI":"10.1109\/ICARCV.2006.345308"},{"key":"1_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.compeleceng.2018.09.005","volume":"72","author":"Ajita Rattani","year":"2018","unstructured":"Rattani A, Derakhshani R (2018) A survey of mobile face biometrics. Comput Electr Eng 72:39\u201352. \n                  https:\/\/doi.org\/10.1016\/j.compeleceng.2018.09.005\n                  \n                , \n                  http:\/\/www.sciencedirect.com\/science\/article\/pii\/S004579061730650X","journal-title":"Computers & Electrical Engineering"},{"key":"1_CR22","unstructured":"Gnther M, Costa-Pazo A, Ding C, Boutellaa E, Chiachia G, Zhang H, de Assis Angeloni M, Truc V, Khoury E, Vazquez-Fernandez E, Tao D, Bengherabi M, Cox D, Kiranyaz S, de Freitas Pereira T, Ganec Gros J, Argones-Ra E, Pinto N, Gabbouj M, Simes F, Dobriek S, Gonzlez-Jimnez D, Rocha A, Neto MU, Pavei N, Falco A, Violato R, Marcel S (2013) The 2013 face recognition evaluation in mobile environment. In: International conference on biometrics, Madrid, pp 1\u20137"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ballester M, Blumenstein M (2014) A new efficient and adaptive sclera recognition system. In: IEEE symposium on computational intelligence in biometrics and identity management (CIBIM), pp 1\u20138","DOI":"10.1109\/CIBIM.2014.7015436"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Park U, Ross A, Jain A (2009) Periocular biometrics in the visible spectrum: a feasibility study. In: IEEE 3rd international conference on biometrics: theory applications and systems, pp 1\u20136","DOI":"10.1109\/BTAS.2009.5339068"},{"key":"1_CR25","doi-asserted-by":"crossref","unstructured":"Marsico MD, Nappi M, Proena H (2017) Results from miche ii mobile iris challenge evaluation ii, Pattern Recogn Lett 91(C):3\u201310","DOI":"10.1016\/j.patrec.2016.12.013"},{"key":"1_CR26","doi-asserted-by":"publisher","unstructured":"Reddy N, Rattani A, Derakhshani R (2018) Ocularnet: deep patch-based ocular biometric recognition. In: 2018 IEEE international symposium on technologies for homeland security (HST), pp 1\u20136. \n                  https:\/\/doi.org\/10.1109\/THS.2018.8574156","DOI":"10.1109\/THS.2018.8574156"},{"key":"1_CR27","doi-asserted-by":"crossref","unstructured":"Rattani A, Derakhshani R, Saripalle SK, Gottemukkula V (2016) ICIP 2016 competition on mobile ocular biometric recognition. In: IEEE International Conference on image processing, challenge session on mobile ocular biometric recognition, Phoenix, AZ, pp 320\u2013324","DOI":"10.1109\/ICIP.2016.7532371"},{"key":"1_CR28","unstructured":"Stein C, Nickel C, Busch C (2012) Fingerphoto recognition with smartphone cameras. In: BIOSIG\u2014Proceedings of the international conference of biometrics special interest group, pp 1\u201312"},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Carney LA, Kane J, Mather JF, Othman A, Simpson AG, Tavanai A, Tyson RA, Xue Y (2017) A multi-finger touchless fingerprinting system: mobile fingerphoto and legacy database interoperability. In: Proceedings of the 2017 4th international conference on biomedical and bioinformatics engineering, ICBBE 2017, New York, NY, USA, pp 139\u2013147","DOI":"10.1145\/3168776.3168800"},{"issue":"12","key":"1_CR30","doi-asserted-by":"publisher","first-page":"2264","DOI":"10.1109\/TIFS.2014.2349158","volume":"9","author":"Ivana Chingovska","year":"2014","unstructured":"Chingovska I, dos Anjos AR, Marcel S (2014) Biometrics evaluation under spoofing attacks. IEEE Trans Inf Forensics Secur 9(12):2264\u20132276","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"1_CR31","doi-asserted-by":"crossref","unstructured":"Liu S, Yang B, Yuen P, Zhao G (2016) A 3D mask face anti-spoofing database with real world variations. In: The IEEE conference on computer vision and pattern recognition (CVPR) workshops, pp 1551\u20131557","DOI":"10.1109\/CVPRW.2016.193"},{"key":"1_CR32","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/978-3-319-46654-5_67","volume-title":"Biometric Recognition","author":"Keyurkumar Patel","year":"2016","unstructured":"Patel K, Han H, Jain AK (2016) Cross-database face antispoofing with robust feature representation. In: You Z, Zhou J, Wang Y, Sun Z, Shan S, Zheng W, Feng J, Zhao Q (eds) Biometric recognition. Springer International Publishing, Cham, pp 611\u2013619"},{"key":"1_CR33","doi-asserted-by":"crossref","unstructured":"Siddiqui IA, Bharadwaj S, Dhamecha TI, Agarwal A, Vatsa M, Singh R, Ratha N (2016) Face anti-spoofing with multifeature videolet aggregation. In: International conference on pattern recognition, Cancun, pp 1035\u20131040","DOI":"10.1109\/ICPR.2016.7899772"},{"issue":"4","key":"1_CR34","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1109\/TIFS.2015.2406533","volume":"10","author":"S Tirunagari","year":"2015","unstructured":"Tirunagari S, Poh N, Windridge D, Iorliam A, Suki N, Ho ATS (2015) Detection of face spoofing using visual dynamics. IEEE Trans Inf Forensics Secur 10(4):762\u2013777","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"12","key":"1_CR35","doi-asserted-by":"publisher","first-page":"4726","DOI":"10.1109\/TIP.2015.2466088","volume":"24","author":"A Pinto","year":"2015","unstructured":"Pinto A, Pedrini H, Schwartz WR, Rocha A (2015) Face spoofing detection through visual codebooks of spectral temporal cubes. IEEE Trans Image Process 24(12):4726\u20134740","journal-title":"IEEE Trans Image Process"},{"key":"1_CR36","doi-asserted-by":"crossref","unstructured":"Akhtar Z, Michelon C, Foresti GL (2014) Liveness detection for biometric authentication in mobile applications. In: 2014 international Carnahan conference on security technology, Rome, pp 1\u20136","DOI":"10.1109\/CCST.2014.6986982"},{"key":"1_CR37","unstructured":"Chingovska I, Anjos A, Marcel S (2012) On the effectiveness of local binary patterns in face anti-spoofing. In: International conference of biometrics special interest group (BIOSIG), Germany, pp 1\u20137"},{"key":"1_CR38","doi-asserted-by":"crossref","unstructured":"Boulkenafet Z, Komulainen J, Li L, Feng X, Hadid A (2017) OULU-NPU: a mobile face presentation attack database with real-world variations. In: IEEE international conference on automatic face gesture recognition, Washington, DC, pp 612\u2013618","DOI":"10.1109\/FG.2017.77"},{"key":"1_CR39","doi-asserted-by":"crossref","unstructured":"Costa-Pazo A, Bhattacharjee S, Vazquez-Fernandez E, Marcel S (2016) The replay-mobile face presentation-attack database. In: International conference of the biometrics special interest group, Germany, pp 1\u20137","DOI":"10.1109\/BIOSIG.2016.7736936"},{"issue":"8","key":"1_CR40","doi-asserted-by":"publisher","first-page":"1818","DOI":"10.1109\/TIFS.2016.2555286","volume":"11","author":"Z Boulkenafet","year":"2016","unstructured":"Boulkenafet Z, Komulainen J, Hadid A (2016) Face spoofing detection using colour texture analysis. IEEE Trans Inf Forensics Secur 11(8):1818\u20131830","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"11","key":"1_CR41","doi-asserted-by":"publisher","first-page":"2396","DOI":"10.1109\/TIFS.2015.2458700","volume":"10","author":"SR Arashloo","year":"2015","unstructured":"Arashloo SR, Kittler J, Christmas W (2015) Face spoofing detection based on multiple descriptor fusion using multiscale dynamic binarized statistical image features. IEEE Trans Inf Forensics Secur 10(11):2396\u20132407","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"1_CR42","doi-asserted-by":"crossref","unstructured":"Gan J, Li S, Zhai Y, Liu C (2017) 3D convolutional neural network based on face anti-spoofing. In: International conference on multimedia and image processing, Wuhan, pp 1\u20135","DOI":"10.1109\/ICMIP.2017.9"},{"key":"1_CR43","doi-asserted-by":"crossref","unstructured":"Atoum Y, Liu Y, Jourabloo A, Liu X (2017) Face anti-spoofing using patch and depth-based CNNs. In: IEEE international joint conference on biometrics, Denver, CO, pp 319\u2013328","DOI":"10.1109\/BTAS.2017.8272713"},{"issue":"1","key":"1_CR44","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/1687-5281-2014-2","volume":"2014","author":"F Pereira","year":"2014","unstructured":"Pereira F, Komulainen J, Anjos A, Martino MD, Hadid A, Pietik\u00e4inen M, Marcel S (2014) Face liveness detection using dynamic texture. EURASIP J Image Video Process 2014(1):2","journal-title":"EURASIP J Image Video Process"},{"key":"1_CR45","unstructured":"Patel K, Han H, Jain AK, Ott G (2015) Live face video vs. spoof face video: use of moire patterns to detect replay video attacks. In: International conference on biometrics, Phuket, pp 98\u2013105"},{"issue":"4","key":"1_CR46","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TIFS.2015.2400395","volume":"10","author":"D Wen","year":"2015","unstructured":"Wen D, Han H, Jain AK (2015) Face spoof detection with image distortion analysis. IEEE Trans Inf Forensics Secur 10(4):746\u2013761","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"1_CR47","doi-asserted-by":"crossref","unstructured":"Galbally J, Marcel S (2014) Face anti-spoofing based on general image quality assessment. In: International conference on pattern recognition, Stockholm, pp 1173\u20131178","DOI":"10.1109\/ICPR.2014.211"},{"key":"1_CR48","doi-asserted-by":"crossref","unstructured":"Boulkenafet Z, Komulainen J, Akhtar Z, Benlamoudi A, Samai D, Bekhouche SE, Ouafi A, Dornaika F, Taleb-Ahmed A, Qin L, Peng F, Zhang LB, Long M, Bhilare S, Kanhangad V, Costa-Pazo A, Vazquez-Fernandez E, Perez-Cabo D, Moreira-Perez JJ, Gonzalez-Jimenez D, Mohammadi A, Bhattacharjee S, Marcel S, Volkova S, Tang Y, Abe N, Li L, Feng X, Xia Z, Jiang X, Liu S, Shao R, Yuen PC, Almeida WR, Andalo F, Padilha R, Bertocco G, Dias W, Wainer J, Torres R, Rocha A, Angeloni MA, Folego G, Godoy A, Hadid A (2017) A competition on generalized software-based face presentation attack detection in mobile scenarios. In: IEEE international joint conference on biometrics, Denver, CO, pp 688\u2013696","DOI":"10.1109\/BTAS.2017.8272758"},{"key":"1_CR49","doi-asserted-by":"crossref","unstructured":"Taneja A, Tayal A, Malhorta A, Sankaran A, Vatsa M, Singh R (2016) Fingerphoto spoofing in mobile devices: a preliminary study. In: IEEE international conference on biometrics theory, applications and systems, pp 1\u20137","DOI":"10.1109\/BTAS.2016.7791201"},{"key":"1_CR50","unstructured":"Stein C, Bouatou V, Busch C (2013) Video-based fingerphoto recognition with anti-spoofing techniques with smartphone cameras. In: International conference of the BIOSIG Special Interest Group (BIOSIG), pp 1\u201312"},{"key":"1_CR51","doi-asserted-by":"crossref","unstructured":"Fujio M, Kaga Y, MurakamiT, Ohki T, Takahashi K (2018) Face\/fingerphoto spoof detection under noisy conditions by using deep convolutional neural network. In: International joint conference on biomedical engineering systems and technologies, pp 54\u201362","DOI":"10.5220\/0006597500540062"},{"key":"1_CR52","doi-asserted-by":"crossref","unstructured":"Sequeira AF, Murari J, Cardoso JS (2014) Iris liveness detection methods in the mobile biometrics scenario. In: International joint conference on neural networks (IJCNN), pp 3002\u20133008","DOI":"10.1109\/IJCNN.2014.6889816"},{"key":"1_CR53","doi-asserted-by":"crossref","unstructured":"Sequeira AF, Oliveira HP, Monteiro JC, Monteiro JP, Cardoso JS (2014) Mobilive 2014 mobile iris liveness detection competition. In: IEEE international joint conference on biometrics, pp 1\u20136","DOI":"10.1109\/BTAS.2014.6996290"},{"key":"1_CR54","doi-asserted-by":"crossref","unstructured":"Talreja V, Ferrett T, Valenti MC, Ross A (2018) Biometrics-as-a-service: a framework to promote innovative biometric recognition in the cloud. In: IEEE international conference on consumer electronics (ICCE), pp 1\u20136","DOI":"10.1109\/ICCE.2018.8326075"},{"key":"1_CR55","doi-asserted-by":"crossref","unstructured":"Mell P, Granc T (2011) The nist definition of cloud computing. Tech. rep, Recommendations of the National Institute of Standards and Technology","DOI":"10.6028\/NIST.SP.800-145"},{"key":"1_CR56","doi-asserted-by":"crossref","unstructured":"Chow R, Jakobsson M, Masuoka R, Molina J, Niu Y, Shi E, Song Z (2010) Authentication in the clouds: a framework and its application to mobile users. In: ACM cloud computing security workshop (CCSW), New York, NY, USA, pp 1\u20136","DOI":"10.1145\/1866835.1866837"},{"key":"1_CR57","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.patrec.2014.10.011","volume":"57","author":"Silvio Barra","year":"2015","unstructured":"Barra S, Casanova A, Narducci F, Ricciardi S (2015) Ubiquitous iris recognition by means of mobile devices. Pattern Recogn Lett 57:66\u201373","journal-title":"Pattern Recognition Letters"},{"issue":"4","key":"1_CR58","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1109\/MSP.2016.2555335","volume":"33","author":"VM Patel","year":"2016","unstructured":"Patel VM, Chellappa R, Chandra D, Barbello B (2016) Continuous user authentication on mobile devices: recent progress and remaining challenges. IEEE Signal Process Mag 33(4):49\u201361","journal-title":"IEEE Signal Process Mag"},{"key":"1_CR59","doi-asserted-by":"crossref","unstructured":"Rattani A, Reddy N, Derakhshani R (2017) Gender prediction from mobile ocular images: a feasibility study. In: IEEE international symposium on technologies for homeland security, pp 1\u20136","DOI":"10.1109\/THS.2017.7943489"},{"key":"1_CR60","doi-asserted-by":"crossref","unstructured":"Buriro A, Akhtar Z, Crispo B, Frari FD (2016) Age, gender and operating-hand estimation on smart mobile devices. In: International conference of the biometrics special interest group, pp 1\u20135","DOI":"10.1109\/BIOSIG.2016.7736910"},{"issue":"5","key":"1_CR61","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1049\/iet-bmt.2017.0171","volume":"7","author":"Ajita Rattani","year":"2018","unstructured":"Rattani A, Reddy N, Derakhshani R (2018) Convolutional neural networks for gender prediction from smartphone-based ocular images. IET Biometrics 7:423\u2013430","journal-title":"IET Biometrics"},{"key":"1_CR62","doi-asserted-by":"publisher","unstructured":"Rattani A, Reddy N, Derakhshani R (2017) Convolutional neural network for age classification from smart-phone based ocular images. In: 2017 IEEE international joint conference on biometrics (IJCB), pp 756\u2013761. \n                  https:\/\/doi.org\/10.1109\/BTAS.2017.8272766","DOI":"10.1109\/BTAS.2017.8272766"},{"key":"1_CR63","doi-asserted-by":"publisher","unstructured":"Mohammad AS, Rattani A, Derahkshani R (2017) Eyeglasses detection based on learning and non-learning based classification schemes. In: IEEE international symposium on technologies for homeland security (HST), pp 1\u20135. \n                  https:\/\/doi.org\/10.1109\/THS.2017.7943484","DOI":"10.1109\/THS.2017.7943484"},{"key":"1_CR64","doi-asserted-by":"crossref","unstructured":"Mohammad AS, Rattani A, Derakhshani R (2018) Short-term user authentication using eyebrows biometric for smartphone devices. In: IEEE computer science and electronic engineering conference, pp 1 \u2013 6","DOI":"10.1109\/CEEC.2018.8674192"},{"key":"1_CR65","doi-asserted-by":"crossref","unstructured":"Nguyen H, Sai R, Li Z, Derakhshan R (2018) User re-identification using clothing information for smartphones. In: IEEE international symposium on technologies for homeland security (HST), pp 1\u20135","DOI":"10.1109\/THS.2018.8574164"},{"key":"1_CR66","doi-asserted-by":"crossref","unstructured":"Samangouei P, Patel VM, Chellappa R (2015) Attribute-based continuous user authentication on mobile devices. In: IEEE 7th international conference on biometrics theory, applications and systems (BTAS), pp 1\u20138","DOI":"10.1109\/BTAS.2015.7358748"},{"issue":"11","key":"1_CR67","doi-asserted-by":"publisher","first-page":"2447","DOI":"10.1109\/TIFS.2015.2464772","volume":"10","author":"A Rattani","year":"2015","unstructured":"Rattani A, Scheirer WJ, Ross A (2015) Open set fingerprint spoof detection across novel fabrication materials. IEEE Trans Inf Forensics Secur 10(11):2447\u20132460","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"1_CR68","unstructured":"Schroff F, Kalenichenko D, Philbin J. FaceNet: a unified embedding for face recognition and clustering, CoRR abs\/1503.03832"},{"key":"1_CR69","doi-asserted-by":"crossref","unstructured":"Wen Y, Zhang K, Li Z, Qiao Y (2016) A discriminative feature learning approach for deep face recognition. In: Leibe B, Matas J, Sebe N, Welling M (eds) European conference on computer vision. Cham, pp 499\u2013515","DOI":"10.1007\/978-3-319-46478-7_31"}],"container-title":["Advances in Computer Vision and Pattern Recognition","Selfie Biometrics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-26972-2_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T10:03:00Z","timestamp":1569060180000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-26972-2_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030269715","9783030269722"],"references-count":69,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-26972-2_1","relation":{},"ISSN":["2191-6586","2191-6594"],"issn-type":[{"type":"print","value":"2191-6586"},{"type":"electronic","value":"2191-6594"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}