Publication Details
3D Hand Geometry Recognition
3D hand geometry, structured light, diffraction grating, line scan camera, stereovision
Using 3D hand geometry biometrics solves the problem of low entropy presented by simple hand geometry biometrics. For it to become widespread however, there are challenges that need to be overcome. The approaches to capture the three-dimensional model of a hand at sufficient speed, quality costs are still being developed, as are the methods of identification based on the acquired data.
In this chapters, the current static acquisition approaches will be described, such as active triangulation via the structured light, the passive triangulation using multiple cameras and time of flight devices. Novel dynamic acquisition method utilizing line scan cameras will also be presented. With 3D hand geometry, we also can gain freedom regarding the hand position and orientation during acquisition. A depicture of feature extraction of 3D hand profile and their utilization will be presented.
@INBOOK{FITPUB11547, author = "Michal Dvo\v{r}\'{a}k and Martin Drahansk\'{y}", title = "3D Hand Geometry Recognition", pages = "103--123", booktitle = "Biometric-Based Physical and Cybersecurity Systems", year = 2018, location = "Cham, CH", publisher = "Springer International Publishing", ISBN = "978-3-319-98733-0", doi = "10.1007/978-3-319-98734-7\_4", language = "english", url = "https://www.fit.vut.cz/research/publication/11547" }