Remote sensing is one of the most dynamically developing fields of science that can be applicable in security and biometrics. Application of various biometric systems has been increased in past decades due to growing demands of security. There are a lot of human characteristics that might be used in a biometric system to identify an individual, i.e., hand palm veins, fingerprints, iris recognition, etc. Hand geometry biometric is based on the shape of hands. Hand palm veins based biometry that uses the vascular system patterns is one of the most complex and can be utilized for personal identification. Therefore, the hand palm veins based biometry includes some of the most useful technologies for person identification. This paper examines the utility of hyperspectral imagery for personal identification based on the fusion of hand geometry and hand palms veins biometrics. The hyperspectral data are used to develop the methodology of fast imagery post-processing and data matching, which could be used to develop a low-cost hand biometric recognition system intended to make a highly efficient identification and to have a fast response and easy usage. The research was conducted using a hyperspectral pushbroom sensor in controlled laboratory conditions. The hand vein detection process is based on a camera that takes a picture of the subject’s veins under a radiation source. The application of hyperspectral data can be time-consuming. Therefore biometrics systems should use faster solutions. Experiment with a hyperspectral camera allowed to select the best wavelength in which acquisition of palm veins and hand geometry was optimal. The developed methodology will be next used to build a low-cost system with one panchromatic frame camera and adequate interferometric filter, that would facilitate data acquisition, and identification process.