 
Embedded Processing Design Made Easy
The ADI BF518F FMC
Reference Design
, designed and available exclusively from Avnet, provides a simple-to-use platform using the BF518F low-power Blackfin processor and the Microsoft .NET Micro Framework.
Learn more.
| |
best websites for biometrics:
-
mkt research, projects, books...
(7 records)
organizations
(5 records)
associations, conferences, universities...
(7 records)
overviews, publications
(7 records)
papers, webinars, portals
(7 records)
top ten, free stuff, & vendors for biometrics:
-
e-clips
"eReport: "
best websites for biometrics
biometrics vendor guide
biometrics services guide
 Definition: Biometric characteristics can be divided in two main classes: physiological are related to the shape of the body.
The oldest traits, that have been used for more than 100 years, are fingerprints.
Other examples are face recognition, hand geometry and iris recognition.
Recently, a new trend has been developed that merges human perception to computer database in a brain-machine interface.
This approach has been referred to as cognitive biometrics.
Cognitive biometrics is based on specific responses of the brain to stimuli which could be used to trigger a computer database search.
Currently, cognitive biometrics systems are being developed to use brain response to odor stimuli [2], facial perception [3] and mental performance [4] for search at ports and high security areas.
These systems are based on use of functional transcranial Doppler (fTCD) and functional transcranial Doppler spectroscopy (fTCDS) [5] to obtain brain responses, which are used to match a target odor, a target face or target performance profile stored in a computer database.
Thus, the precision of human perception provides the data to match that stored in the computer with improve sensitivity of the system.
behavioral are related to the behavior of a person.
The first characteristic to be used, still widely used today, is the signature.
More modern approaches are the study of keystroke dynamics and of voice.[citation needed] Strictly speaking, voice is also a physiological trait because every person has a different pitch, but voice recognition is mainly based on the study of the way a person speaks, commonly classified as behavioral.
Other biometric strategies are being developed such as those based on gait (way of walking), retina, hand veins, ear canal, facial thermogram, DNA, odor and scent and palm prints.
Source: (http://en.wikipedia.org/wiki/Biometrics)
| |
|
