. INTRODUCTION
HE business information system has an important rule in
organizations. It is a support tool for business activities
to reach organization goals. One of the main components of
the business system is business transaction data, which can
be collected from several sources. In a practical way, most of
sources of the transaction data usually are gotten from
printed documents. Hence, a procedure of transforming
printed documents to a computer-understandable form is a
need. The OCR software is an automatic tool for that
procedure. Nowadays, Thai OCR software is not widely used
in business applications. Since its obtained results is slightly
low.
In decade past, many researchers have been introduced
several Thai OCR techniques that cover in area of local
feature extraction techniques, classifier techniques, and
automatic word correction techniques such as [1],[2],[3],[4]
and [5]. However, the existing techniques are not successful.
According to a set of Thai alphabet shown in Figure 1,
several Thai characters are too similar such as “”, “
”,
and “”. In particularly, as the images of similar characters
are obtained from a poor paper, the image characters may be
more confused as shown in Figure 2. So, the character
recognition procedure with the local feature extraction
techniques may not handle the case of low quality character
images. Furthermore, the recognition procedure with word
correction techniques also may not handle when a number of