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.

In this paper, the authors will describe a new algorithm based on minutiae extraction which is inspired by currently fingerprint systems, but adapted to the own characteristics of vein patterns. All the steps of the system, from the image pre-processing to the comparison algorithm, are described, including also the biometric feature extraction process. After describing the system, some obtained results are detailed. The algorithm proposed has been tested with two different databases: one database acquired by the authors, using a self-designed sensor; and one semi-publicly accessible database. These results do not only show the low error rates obtained but also the universality of the proposed system, as well as the ease of adapting the algorithm to cope with the different characteristics of each database

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