Summary
In this paper we present human identification method based on knuckle biometrics also termed as FKP (finger-knuckle-print). Knuckle is a part of hand, and therefore, is easily accessible, invariant to emotions and other behavioral aspects (e.g. tiredness) and most importantly is rich in texture features which usually are very distinctive. The major contribution of this paper are texture-based knuckle features and their evaluation using IIT Delhi knuckle image database.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Morales, A., Ferrer, M.A., Travieso, C.M., Alonso, J.B.: A knuckles texture verification method in a transformed domain. In: Proc. of 1st Spanish Workshop on Biometrics (on CD), Girona, Spain (2007)
Kumar, A., Zhou, Y.: Human Identification using Knuckle Codes. In: Proc. BTAS (2009)
Kumar, A., Ravikanth, C.: Personal authentication using finger knuckle surface. IEEE Trans. Information Forensics and Security 4(1), 98–110 (2009)
Kumar, A., Zhou, Y.: Personal identification using finger knuckle orientation features. Electronics Letters 45(20) (2009)
Zhang, L., Zhang, L., Zhang, D.: Finger-knuckle-print verification based on band-limited phase-only correlation. In: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns, pp. 141–148 (2009)
http://www4.comp.polyu.edu.hk/~csajaykr/myhome/database_request/knuckle/
Zhang, L., Zhang, L., Zhang, D., Hailong, Z.H.: Online Finger-Knuckle-Print Verification for Personal Authentication. Pattern Recognition 43(7), 2560–2571 (2010)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. Computer Vision and Pattern Recognition. In: Proceedings of the 2001 IEEE Computer Society Conference on CVPR 2001, vol. 1, pp. 511–518 (2001)
Bay, H., Tuytelaars, T., Van Gool, L.: Surf: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)
Choraś, M., Kozik, R.: Feature Extraction Method for Contactless Palmprint Biometrics. In: Huang, D.-S., et al. (eds.) ICIC 2010. CCIS, vol. 93, pp. 435–442. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choraś, M., Kozik, R. (2010). Knuckle Biometrics for Human Identification. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-16295-4_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16294-7
Online ISBN: 978-3-642-16295-4
eBook Packages: EngineeringEngineering (R0)