Top

Published in:

2015 | OriginalPaper | Chapter

Ear Recognition Using Force Field Transform and Collaborative Representation-Based Classification with Single Training Sample Per Class

Authors : Sayan Banerjee, Amitava Chatterjee

Published in: Intelligent Computing and Applications

Publisher: Springer India

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In this paper, we propose a novel method of human identification by ear images using collaborative representation-based classification (CRC) with single training sample per class. The system first employs force field transform on each sample ear image that enhances ear structure from a redundant background, and then, the test sample is reconstructed collaboratively using training samples of all classes and eventually classified to that particular class which gives minimum reconstruction error. The presented technique achieved an encouraging recognition rate of 97.71 % with single training sample per class on a database of 330 images developed at our laboratory.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now

previous chapter PSO in Concentric Circular Arrays for Side Lobe Reduction with Symmetric Relocation Boundary Condition

next chapter Demonstration of GPGPU-Accelerated Computational Fluid Dynamic Calculations

Iannarelli, A.V.: Ear Identification. Forensic Identification Series. Paramount Publishing Company, Fremont (1989)

Yuan, L., Mu, Z.C., Yang, F.: A review of recent advances in ear recognition. In: Springer Biometric Recognition Lecture Notes in Computer Science, vol. 7098, pp. 252–259 (2011)

Hurley, D.J., Nixon, M.S., Carter, J.N.: Force field energy functionals for image feature extraction. Image Vis. Comput. 20, 311–317 (2002)CrossRef

Hurley, D.J., Nixon, M.S., Carter, J.N.: Force field feature extraction for ear biometrics. Comput. Vis. Image Underst. (2004)

Hurley, D.J., Nixon, M.S., Carter, J.N.: A new force field transform for ear and face recognition. In: Proceedings of the IEEE International Conference on Image Processing, ICIP 2000, pp. 25–28 (2000)

Dong, J., Mu, Z.: Multi-pose ear recognition based on force field transformation. In: Second International Symposium on Intelligent Information Technology Application (IITA), pp. 771–775 (2008)

Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Mai, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 210–227 (2009)CrossRef

Zhang, D., Yang, M., Feng, X.: Sparse representation or collaborative representation: which helps face recognition? In: IEEE International Conference on Computer Vision, pp. 471–478 (2011)

Chen, X., Ramadge, P.J.: Collaborative representation, sparsity or nonlinearity: what is key to dictionary based classification? In: IEEE International Conference on ICASSP, pp. 5227–5231 (2014)

10.

Yuan, L., Li, C., Mu, Z.: Ear recognition under partial occlusion based on sparse representation. In: IEEE International Conference on System Science and Engineering (ICSSE), pp. 349–352 (2012)

11.

Khorsandi, R., Cadavid, S., Abdel-Mottaleb, M.: Ear recognition via sparse representation and gabor filters. In: IEEE Fifth International Conference on BTAS, pp. 278–282 (2012)

12.

Jia, S., Shen, L., Li, Q.: Gabor feature-based collaborative representation for hyperspectral imagery classification. IEEE Trans. Geosci. Remote Sens. 53(2), 1118–1129 (2015)CrossRef

13.

Gangopadhyay, A., Chatterjee, O., Chatterjee, A.: Hand shape based biometric authentication system using radon transform and collaborative representation based classification. In: IEEE Second International Conference on ICIIP, pp. 635–639 (2013)

14.

Faruqe, M.O., Al Mehedi Hasan M.: Face recognition using PCA and SVM. In: IEEE Third International Conference on ASID, pp. 97–101 (2009)

Title: Ear Recognition Using Force Field Transform and Collaborative Representation-Based Classification with Single Training Sample Per Class
Authors: Sayan Banerjee
Amitava Chatterjee
Publisher: Springer India
Book: Intelligent Computing and Applications
Print ISBN: 978-81-322-2267-5

Electronic ISBN: 978-81-322-2268-2

Copyright Year: 2015
DOI: https://doi.org/10.1007/978-81-322-2268-2_52

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner