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Proceedings Paper

Biometric analysis of the palm vein distribution by means two different techniques of feature extraction
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Paper Abstract

Vein patterns can be used for accessing, identifying, and authenticating purposes; which are more reliable than classical identification way. Furthermore, these patterns can be used for venipuncture in health fields to get on to veins of patients when they cannot be seen with the naked eye. In this paper, an image acquisition system is implemented in order to acquire digital images of people hands in the near infrared. The image acquisition system consists of a CCD camera and a light source with peak emission in the 880 nm. This radiation can penetrate and can be strongly absorbed by the desoxyhemoglobin that is presented in the blood of the veins. Our method of analysis is composed by several steps and the first one of all is the enhancement of acquired images which is implemented by spatial filters. After that, adaptive thresholding and mathematical morphology operations are used in order to obtain the distribution of vein patterns. The above process is focused on the people recognition through of images of their palm-dorsal distributions obtained from the near infrared light. This work has been directed for doing a comparison of two different techniques of feature extraction as moments and veincode. The classification task is achieved using Artificial Neural Networks. Two databases are used for the analysis of the performance of the algorithms. The first database used here is owned of the Hong Kong Polytechnic University and the second one is our own database.

Paper Details

Date Published: 23 September 2014
PDF: 10 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92171W (23 September 2014); doi: 10.1117/12.2061085
Show Author Affiliations
R. Castro-Ortega, Univ. Politécnica de Tulancingo (Mexico)
C. Toxqui-Quitl, Univ. Politécnica de Tulancingo (Mexico)
J. Solís-Villarreal, Univ. Autónoma del Estado de México (Mexico)
A. Padilla-Vivanco, Univ. Politécnica de Tulancingo (Mexico)
J. Castro-Ramos, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

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