Most of the features used are dynamic characteristics rather than static and geometric characteristics, although some vendors also include these characteristics in their analyses. These characteristics vary in use and importance from vendor to vendor and are collected using contact sensitive technologies, such as PDAs or digitizing tablets. In 1977, a patent was awarded for a “personal identification apparatus” that was able to acquire dynamic pressure information.ĭynamic signature recognition uses multiple characteristics in the analysis of an individual’s handwriting. Interest in dynamic characteristics surged with the availability of better acquisition systems accomplished through the use of touch sensitive technologies. Dynamic signature recognition research continued in the 1970s focusing on the use of static or geometric characteristics (what the signature looks like) rather than dynamic characteristics (how the signature was made).
The first signature recognition system was developed in 1965. Data such as the dynamically captured direction, stroke, pressure, and shape of an individual’s signature can enable handwriting to be a reliable indicator of an individual’s identity (i.e., measurements of the captured data, when compared to those of matching samples, are a reliable biometric for writer identification.)
0 kommentar(er)
