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Taddeüs Kroes
licenseplates
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bff2bb2f
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bff2bb2f
authored
13 years ago
by
Taddeus Kroes
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@@ -181,7 +181,7 @@ which vectors to associate with a character.
\end{enumerate}
To our knowledge, LBP has
yet no
t been used in this manner before. Therefore,
To our knowledge, LBP has
not ye
t been used in this manner before. Therefore,
it will be the first thing to implement, to see if it lives up to the
expectations. When the proof of concept is there, it can be used in a final,
more efficient program.
...
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@@ -194,7 +194,7 @@ working with just one cell) gives us the best results.
Given the LBP of a character, a Support Vector Machine can be used to classify
the character to a character in a learning set. The SVM uses the concatenation
of the histograms of all cells in an image as a feature vector (in the case we
check the entire image no concatenation has to be done of course. The SVM can
check the entire image no concatenation has to be done of course
)
. The SVM can
be trained with a subset of the given dataset called the ``learning set''. Once
trained, the entire classifier can be saved as a Pickle object
\footnote
{
See
\url
{
http://docs.python.org/library/pickle.html
}}
for later usage.
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