Abstract:
Competitive
Neural Trees (CNeT) are widely used for
classification in pattern recognition. This paper applies
this technique for recognizing of Myanmar printed
character s . This paper involves three important steps,
typically preprocessing, feature extraction and
classification. The aim of prepro cessing is to improve
the quality of the images for further processing . After
pre processing, features for each character image are
extracted based on Shape description. Shape is an
important visual feature and it is one of the basic
features used to descr ibe image content. These feature
vector from word images which are used in Competitive
Neural Trees (CNeT) for recognition purpose. This
paper introduces a global search method for the CNeT,
which is utilized for training.
