Abstract:
in this paper, a number recognition algorithm on
Spiral Architecture is proposed. This algorithm
employs RULES-3 inductive learning method and
template matching technique. The algorithm starts
from a collection of samples of numbers or letters
used in number plates. Edge maps of the samples
are then detected based on Spiral Architecture. A
set of rules are extracted using these samples by
RULES-3. The rules describe the frequencies of 9
different edge masks appearing in the samples.
Each mask is a cluster of 7 hexagonal pixels. In
order to recognize a number plate, all characters
(digits or letters) are tested one by one using the
extracted rules. The number recognition is
achieved by the frequencies of the 9 masks.
