nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Pose Invariant Face Recognition for New Born: Machine Learning Approach

verfasst von : Rishav Singh, Hari Om

Erschienen in: Computational Intelligence in Data Mining—Volume 1

Verlag: Springer India

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Pose is a natural and important covariate in case of newborn and face recognition across pose can troubleshoot the approaches dealing with uncooperative subjects like newborn, in which the full power of face recognition being a passive biometric technique requires to be implemented and utilized. To handle the large pose variation in newborn, we propose a pose-adaptive similarity method that uses pose-specific classifiers to deal with different combinatorial poses. A texture based face recognition method, Speed Up Robust Feature (SURF) transform, is used to compare the descriptor of testing (probe) face with given training (gallery) face descriptor. Probes executed on the face template data of newborn described here, offer comparative benefits towards affinity for pose variations and the proposed algorithm verdicts the rank 1 accuracy of 92.1 %, which demonstrates the strength of self learning even with single training face image of newborn.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Novel Approach for Modelling of High Order Discrete Systems Using Modified Routh Approximation Technique via W-Domain

Nächstes Kapitel Implementation of Data Analytics for MongoDB Using Trigger Utility

Jia, W., Cai, H., Gui, J., et al.: Newborn footprint recognition using orientation feature. J. Neural Comput. Appl. 21(8), 1855–1863 (2012)CrossRef

Gray, J.E., Suresh, G., Ursprung, R., Edwards, W.H., Nickerson, J., Shinno, P.H.: Patient misidentification in the neonatal intensive careunit: quantification of risk. Pediatrics 117, e46–e47 (2006)CrossRef

http://www.amfor.net/stolenbabies.html. Accessed 25 May 2011

Stapleton, M.E.: Best foot forward: newborn footprints for personalidentification. FBI Law Enforcement Bull. 63(11), 1999

Thompson, J.E., Clark, D.A., Salisbury, B., Cahill, J.: Footprinting the: not cost-effective. J. Pediatr. 99, 797–798 (1981)CrossRef

Galton, F.: Finger prints of young children (British Association for the Advancement of Science, 1899)

Shepard, K.S., Erickson, T., Fromm, H.: Limitations of footprinting as a means of newborn identification. Pediatrics 37(1), 107–108 (1966)

Pela, N.T.R., Mamede, M.V., Tavares, M.S.G.: Analise crtica de impressoes plantares de recem-nascidos. Revista Brasileira de Enfermagem 29, 100–105 (1975)CrossRef

Weingaertner, D., Bellon, O.R.P., Cat, M.N.L., Silva, L.: Newborn’s biometric identification: can it be done? Int. Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2008

10.

Fields, C., Hugh, C.F., Warren, C.P., Zimberoff, M.: The ear of the newborn as an identification constant. J. Obstet. Gynecol. 16, 98–101 (1960)

11.

Lemes, R.P., Bellon, O.R.P., Silva, L., Jain, A.K.: Biometric recognition of newborns: identification using palmprints, pp. 11–13. Int. Joint Conf. Biometrics, Washington, DC, USA (2011)

12.

Tiwari, S., Singh, S.K.: Face recognition for newborns. IET Biometrics. 1(4), 200–208 (2012)CrossRef

13.

Tiwari, S., Singh, S.K.: Newborn verification using headprint. J. Inform. Technol. Res. (JITR), 5(2), 15–30, April–June 2012, ISSN: 1938-7857, doi:10.4018/jitr.2012040102. (IGI Global)

14.

Tiwari, S., Singh, A., Singh, S.K.: Fusion of ear and soft-biometrics for recognition of newborn. Sign. Image Process.: Int. J. 3(3), 103–116, ISSN: 0976-710X (2012)

15.

Tiwari, S., Singh, Aruni, Singh, S.K.: Intelligent method for face recognition of infant. Int. J. Comput. Appl. 52(4), 36–50 (2012)

16.

Tiwari, Shrikant, Singh, Aruni, Singh, Sanjay Kumar: Integrating Faces and Soft-biometrics for Newborn Recognition. Int. J. Adv. Comput. Eng. Archit. 2(2), 201–209 (2012)MathSciNet

17.

Tiwari, S., Singh, A., Singh, S.K.: Can Face and Soft-biometric Traits Assist in Recognition of Newborn? In: Proceedings of IEEE, International Conference on Recent Advanced in Information Technology, pp. 74–79, March 2012

18.

Tiwari, S., Singh, A., Singh, S.K.: Can Ear and Soft-biometric Traits Assist in Recognition of Newborn? In: Proceedings of International Conference on Computer Science, Engineering and Applications, doi:10.1007/978-3-642-30157-5, ISBN: 978-3-642-30157-5, pp. 179–192. Springer, Berlin (May 2012)

19.

Tiwari, S., Singh, S.K., Multimodal Biometric Recognition for Newborn. In: Srivastava, R., Singh, S.K., Shukla, K.K. (eds.) Research Developments in Biometrics and Video Processing Techniques (IGI Global Publishing). Chapter 2. ISSN: 1948-9730, ISBN: 978-1-4666-4870-8

20.

Tiwari, S., Singh, A., Singh, S.K.: Multimodal database of newborns for biometric recognition. Int. J. Bio-Sci. Bio-Technol. 5(2), 89–99 (2013)

21.

Tiwari, S., Singh, A., Singh S.K.: Newborn’s ear recognition: can it be done?. In: International Conference on Image Information Processing (ICIIP), JUIT India, 3–5 November 2011

22.

Keogh, E., Wei, L.: Semi-supervised time series classification. In: SIGKKD (2006)

23.

Chapelle, O., Scholkopf, B., Zien, A.: Semi-Supervised Learning. The MIT Press, Cambridge (2006)CrossRef

24.

Dillon, J.V., Balasubramanian, K., Lebanon, G.: Asymptotic analysis of generative semi-supervised learning. In: Appearing in Proceedings of the 27th International Conference on Machine Learning, Haifa, Israel (2010)

25.

Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Surf: speeded up robust features. Comput. Vis. Image Underst. 110(3), 346–359 (2008)CrossRef

26.

Giraldo, J., Vivas, N.M., Vila, E., Badia, A.: Assessing the (a) symmetry of concentration-effect curves: empirical versus mechanistic models. Pharmacol. Ther. 95(1), 21–45 (2002)CrossRef

27.

Richards, F.J.: A flexible growth function for empirical use. J. Exp. Bot. 10, 290–300 (1959)CrossRef

Titel: Pose Invariant Face Recognition for New Born: Machine Learning Approach
verfasst von: Rishav Singh
Hari Om
Verlag: Springer India
Buch: Computational Intelligence in Data Mining—Volume 1
Print ISBN: 978-81-322-2732-8

Electronic ISBN: 978-81-322-2734-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-81-322-2734-2_4

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner