# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1275254666 14400
# Node ID 534d4ecf1bd1e00d7f0c47d8c8cf6b7e5850c698
# Parent  db28764b8252a37ec7bfee656d272434b43bdec2
small desription of the font added

diff -r db28764b8252 -r 534d4ecf1bd1 writeup/techreport.tex
--- a/writeup/techreport.tex	Sun May 30 12:06:45 2010 -0400
+++ b/writeup/techreport.tex	Sun May 30 17:24:26 2010 -0400
@@ -429,6 +429,13 @@
 
 
 \item {\bf Fonts}
+In order to have a good variety of sources we downloaded an important number of free fonts from: {\tt http://anonymous.url.net}
+%real adress {\tt http://cg.scs.carleton.ca/~luc/freefonts.html}
+in addition to Windows 7's, this adds up to a total of $9817$ different fonts that we can choose uniformly.
+The ttf file is either used as input of the Captcha generator (see next item) or, by producing a corresponding image, 
+directly as input to our models.
+%Guillaume are there other details I forgot on the font selection?
+
 \item {\bf Captchas}
 The Captcha data source is an adaptation of the \emph{pycaptcha} library (a python based captcha generator library) for 
 generating characters of the same format as the NIST dataset. The core of this data source is composed with a random character
@@ -442,7 +449,6 @@
 
 \subsubsection{Data Sets}
 \begin{itemize}
-\item {\bf NIST}
 \item {\bf P07}
 The dataset P07 is sampled with our transformation pipeline with a complexity parameter of $0.7$. 
 For each new exemple to generate, we choose one source with the following probability: $0.1$ for the fonts,