Implementation of the most efficient algorithms in the paper "Text detection and recognition in images and video frames"

Requirements:
This config was ran on Redhat 6.1
It should be possible to adapt these instructions to any Linux or Mac OS X system.

Install libpng libpng-devel libtiff libtiff-devel

### Matlab ###
cd /usr/local/Matlab/sys/os/glnxa64/
mkdir old
mv libstdc++.so.6 old/
ln -s /usr/lib64/libstdc++.so.6 .

### Leptonica ###
wget http://www.leptonica.com/source/leptonica-1.69.tar.gz
tar -xzvf leptonica-1.69.tar.gz
cd leptonica-1.69
./configure
make
sudo make install

### Tesseract ###
wget http://tesseract-ocr.googlecode.com/files/tesseract-ocr-3.02.eng.tar.gz
wget http://tesseract-ocr.googlecode.com/files/tesseract-ocr-3.02.02.tar.gz

tar -xvf tesseract-ocr-3.02.02.tar.gz
tar -xvf tesseract-ocr-3.02.eng.tar.gz

cd tesseract-ocr
./configure
make
sudo make install

### CMU Language Modelling Toolkit ###
wget http://svr-www.eng.cam.ac.uk/~prc14/CMU-Cam_Toolkit_v2.tar.gz
tar -zxvf CMU-Cam_Toolkit_v2.tar.gz
cd CMU-Cam_Toolkit_v2
./endian.sh
cd src
-DSLM_SWAP_BYTES in Makefile for little endian
make install
./install-sh ../bin/*
ln -s /CMU-Cam_Toolkit_v2/bin/* .

### Ram disk ###
mke2fs -m 0 /dev/ram0
mkdir /mnt/rd
mount /dev/ram0 /mnt/rd
tune2fs -l /dev/ram0
chown root:root /mnt/rd
chmod 777 /mnt/rd

Addd to /etc/rc/.local to run on startup:
/sbin/mke2fs -q -m 0 /dev/ram0
/bin/mount /dev/ram0 /mnt/rd
/bin/chmod 777 /mnt/rd