Capturing Hand or Wrist Vein Images for Biometric Authentication Using Low-Cost Devices

Abstract

Biometric recognition is becoming more and more important owing to the need for authentication in several fields like security or convenience applications. In this paper, a new imaging capturing technique based on near-infrared illumination [1] to acquire wrist vein pattern images for biometric purposes is analysed. Experiments and tests involving data acquisition in different illumination conditions are described using a population of 30 test subjects. Comparison and analysis of the data collected with other techniques show that this hardware method is suitable to obtain high quality wrist veins images that can be used in the feature extraction phase to extract the wrist vein patterns for biometric recognition.

Vein minutia cylinder-codes (V-MCC)

“…The third database used for the experiment is referred to as UC3M [10]. It was collected in 2010 in the University Carlos III of Madrid.…”

Entropy estimator and formal model for vascular skeletons

“…The patterns are commonly extracted from images of the palm, the back of the hand or fingers as seen in figure 1, also the wrist area can be used [8]. Yanagawa et al showed that the diversity of finger vein patterns among different persons is competitive to iris-based systems [9].…”

Quality Estimation for Vascular Pattern Recognition

“…Pascual et al [12] built a vein recognition system where quality of the produced samples were measured through objective measurements such as contrast, variance and light distribution between vein and skin area. Several studies have demonstrated the correlation between quality and influencing factors of different nature and with different degrees of influence.…”