Compressed sensing approach for wrist vein biometrics

The work describes features of the compressed sensing (CS) approach utilized for development of a wearable system for wrist vein recognition with single-pixel detection; we consider this system useful for biometrics authentication purposes. The CS approach implies use of a spatial light modulation (SLM) which, in our case, can be performed differently – with a liquid crystal display or diffusely scattering medium. We show that compressed sensing combined with above mentioned means of spatial light modulation allows us to avoid using an optical system – a limiting factor for wearable devices. The tradeoff between the two different SLM approaches regarding issues of practical implementation of CS approach for wrist vein recognition purposes is discussed. A possible solution of a misalignment problem – a typical issue for imaging systems based upon 2D arrays of photodiodes, is also proposed.

from ORL via alkiviadis.1961 on Inoreader http://ift.tt/2yK1Ize