Novel types of analogic CNN algorithms for recognizing bank-notes
Zarandy, A.
Werblin, F.
Roska, T.
Chua, L.O.
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest;
Abstract
Novel types of analogic algorithms, using spatio-temporal CNN
(cellular nonlinear/neural networks) operations are introduced. These
algorithms make complex decisions in images without reading out the CNN
chip. This makes them extremely time, area, and power effective. Two
crucial effects are emphasized: diffusion type templates are applied
during a finite time interval and local logic operates within well
defined parts (patches) in the image plane. Hence, a new type of pattern
recognition algorithm is introduced. The technique is demonstrated on an
example. In our example we are dealing with an actual problem: how to
avoid the counterfeiting on color copiers
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