Hand Vein Infrared Image Segmentation for Biometric Recognition

Arturo Olvera

Resumen


In this paper we propose a technique for extracting vein regions from

infrared hand images; this technique analyzes the geometry of the hand to get

the vein patterns for being used in recognition. Commonly, the vein points ex-

tracted are used as geometric representation of the vein patterns which are

matched with the representation of the images in a database. This paper also

presents a preprocessing technique to obtain the Region of Interest (ROI) from

low contrast images.


Texto completo:

PDF

Referencias


Jain A. K., Ross A. A., Nandakumar K.:#Introduction to Biometrics. Springer, 2012

Samaria F., Harter A.: Parameterization of a Stochastic Model for Human Face Identification. In: Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, 138-142 (1994)

CASIA iris database.: Institute of Automation, Chinese Academy of Sciences.

[http://biometrics.idealtest.org]

Fierrez J., Galbally J., Ortega-Garcia J., Freire M. R., Alonso-Fernández F., Ramos D., Gracia-Roche J.: BiosecurID: a multimodal biometric database. Pattern Analysis and Applications, 13(2), 235-246 (2010)

Wang, L., Leedham, G.: Near and far infrared imaging for vein pattern biometrics. In: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, p. 52. IEEE Computer Society (2006)

Jain A. K., Bolle R.M., Pankatni S.: Biometrics: Personal Identification in Networked Society, Kluwer Academic Publishers, Dordrecht (1999) Memorias del 7mo. Congreso Internacional en Ciencias Computacionales, CiComp 2014




DOI: http://dx.doi.org/10.98765/fder.rdk.2594-0708.1997.1.880

Enlaces refback

  • No hay ningún enlace refback.