readme and stuff

README.md

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+# The ALGORITHM!!!
+
+The general idea is to make a filter/mask of each of the corresponding fonts,
+and attempt to match them to the given letter.
+
+## Scoring system
+
+The score each font will have will be based on the average color(`acolor`)
+underneath each font mask(might be different `acolor` for each mask).
+
+After obtaining the `acolor` for a mask, the score will be calculated
+as the sum of the different pixel scores.
+
+For a given pixel(`po` for the original image and `pm` for the mask, same position)
+its score will be calculated as follows:
+
+```
+S_p = | po - acolor | x (0.5 - pm)
+```
+
+it is assumed that the font mask is of values between `0..1` and made as a
+'white on black' text(so `1` is where the font is).
+
+The given score calculation will take into consideration color
+variations of where the letter should be, while also taking into
+consideration the fact that the background should be of different
+color.
+
+## Potential improvements
+
+Some potential improvements would be:
+
+- Only consider pixels in the font and their outline.
+	This might be helpful, as it would mean we dont care
+	about pixels that are too far away, but assuming a good bounding boxes,
+	it probably wont give much better results(or at all).
+	Additionally, it poses some questions of which pixels should be considered,
+	as both the text and mask are anti-aliased(thus having "weak" pixels)
+- Increase the area around the font.
+	This idea can make sure we are not looking too inwards,
+	although it shouldn't matter since we are looking to classify from
+	a predefined set and not search them randomly, thus the potentially
+	good information missed shouldn't matter that much
+	(i.e. all scores will be 0.1 lower but the correct font shall still be picked)
+
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