3.2.1. TGS-CVBR®

This software component is also evaluated in [1], demonstrating a reduced variation in size and orientation (illumination in consequence) of the wrists. The recognition process was improved, although the algorithms selected and used in this paper (PIS-CVBR®), SIFT®, SURF®, and ORB were already scale-orientation-invariant algorithms.

Figure 11 shows the results of the use of TGS-CVBR®. The repetitiveness in the samples is evident.

**Figure 11.** Three-Guideline Software for Contactless Vascular Biometric Recognition (TGS-CVBR®) images comparison for six samples of User 0 (**top row**) and User 82 (bottom row) [1].

In addition, although a usability test for the subjects was not realized for the collection of the UC3M-CV1 dataset, they have indicated that they felt comfortable as the sessions and sample capture have been going on. In the future, a usability test should be passed for a complete evaluation.
