Project format.

.gitignore

@@ -43,6 +43,8 @@ tex/modeller-images
 tex/modeller.markdown
 tex/objmodel-images
 tex/objmodel.markdown
+tex/ocr-images
+tex/ocr.markdown
 tex/pedometer-images
 tex/pedometer.markdown
 tex/sample-images

build.py

@@ -14,6 +14,7 @@ def main(chapters=[], epub=False, pdf=False, html=False, mobi=False, pandoc_epub
             run('rm {}'.format(f))
 
     chapter_dirs = [
+        'ocr',
         'contingent',
         'same-origin-policy',
         'blockcode',
@@ -67,6 +68,7 @@ def main(chapters=[], epub=False, pdf=False, html=False, mobi=False, pandoc_epub
     ]
 
     image_paths = [
+        './ocr/ocr-images',
         './contingent/contingent-images',
         './same-origin-policy/same-origin-policy-images',
         './blockcode/blockcode-images',

ocr/ocr.markdown

@@ -0,0 +1,38 @@
+title: Optical Character Recognition (OCR)
+author: Marina Samuel
+
+## Introduction
+
+What if your computer could wash your dishes, do your laundry, cook you dinner,
+and clean your home? I think I can safely say that most people would be happy
+to get a helping hand! But what would it take for a computer to be able to
+perform these tasks, in exactly the same way that humans can? 
+
+The famous computer scientist Alan Turing proposed the Turing Test as a way to
+identify whether a machine could have intelligence indistinguishable from that
+of a human being. The test involves a human posing questions to two hidden
+entities, one human, and the other a machine, and trying to identify which is
+which. If the interrogator is unable to identify the machine, then the machine
+is considered to have human-level intelligence. 
+
+While there is a lot of controversy surrounding whether the Turing Test is a
+valid assessment of intelligence, and whether we can build such intelligent
+machines, there is no doubt that machines with some degree of intelligence
+already exist. There is currently software that helps robots navigate an office
+and perform small tasks, or help those suffering with Alzheimer's. More common
+examples of Artificial Intelligence (A.I.) are the way that Google estimates
+what you’re looking for when you search for some keywords, or the way that
+Facebook decides what to put in your news feed.
+
+One well known application of A.I. is Optical Character Recognition (OCR). An
+OCR system is a piece of software that can take images of handwritten
+characters as input and interpret them into machine readable text.  While you
+may not think twice when depositing a handwritten cheque into a bank machine
+that confirms the deposit value, there is some interesting work going on in the
+background. This chapter will examine a working example of a simple OCR system
+that recognizes numerical digits using an Artificial Neural Network (ANN). But
+first, let’s establish a bit more context.
+
+
+## What is Artificial Intelligence?
+

tex/500L.tex

@@ -260,12 +260,24 @@
 \mainmatter
 
 
+\include{ocr}
+
+\include{contingent}
+
+\include{same-origin-policy}
+
+\include{blockcode}
+
 \include{interpreter}
 
+\include{web-server}
+
 \include{static-analysis}
 
 \include{functionalDB}
 
+\include{flow-shop}
+
 \include{template-engine}
 
 \include{pedometer}