Commit 4d559008 authored by Richard Torenvliet's avatar Richard Torenvliet

worked on report

parent ec532bce
......@@ -115,7 +115,7 @@ at either the left of right side of the image.
Once we have separate digits and characters, we intent to use Local Binary
Patterns (Ojala, Pietikäinen \& Harwood, 1994) to determine what character
or digit we are dealing with. Local Binary
Patters are a way to classify a texture based on the distribution of edge
Patterns are a way to classify a texture based on the distribution of edge
directions in the image. Since letters on a license plate consist mainly of
straight lines and simple curves, LBP should be suited to identify these.
......@@ -142,7 +142,7 @@ evaluated, starting with $i=0$).
This results in a mathematical expression:
Let I($x_i, y_i$) an Image with grayscale values and $g_n$ the grayscale value of the pixel $(x_i, y_i)$.
Also let $s(g_i - g_c)$ with $g_c$ = grayscale value of the center pixel.
Also let $s(g_i, g_c)$ with $g_c$ = grayscale value of the center pixel.
$$
s(v, g_c) = \left\{
......
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