Abstract
This study proposes a generic model for optical character recognition (OCR) on remote
objects, using digitised video and digital camera input. Currently, most applications using
this technique are ad hoc. Lack of formalism creates the risk of fragmented adhocracy.
The purpose of this model is to introduce some degree of formalism based on classical
character recognition, thereby providing a theoretical basis, and to explore the potential of
character recognition on digital images for automated reading. The model also propogates
the use of off the shelf commercial software and hardware currently available.
The model “CRODI” which is an abbreviation for Character Recognition On Digital
Images, consists of several objects or building blocks necessary for any remote character
recognition application. In order to provide an optimal solution for any application it is
necessary to select the most appropriate and effective building blocks. The combination
and sequence in which these building blocks are selected is called a visual routine. This
study does not only focus on choosing the correct building blocks for an application but
also describes how certain visual routines and methodologies can be used to cater for
applications with a certain profile. Furthermore, a formal notation in the form of an Expert
Support System is introduced to describe optimised visual routines and the selection of
building blocks in an efficient way.
An example is given in chapter six of the efficiency and effectiveness of the model on a
classical but dynamic application, where character recognition is performed on stationary
and fast moving vehicles’ number plates.
The biggest advantage of CRODI is to propose a generic framework or model from which
an intuitive selection of objects, visual routines or methodologies can occur to expedite
and optimise remote character recognition on almost any stationary or moving object.
Ehlers, E.M., Prof.