Document Identification and Classification Using Transform Coding of Gray Scale Projections and Neural Tree Network

Abstract

In today’s technological environment, there is a definite need to identify and classify documents reliably. The existing approaches are not likely to prove effective in practical applications because of large dynamic range and high computational cost. This paper discusses the approach that involves a preliminary data reduction step, gray scale projections and transform technique that greatly reduces the computational complexity of the problem. Further classification is successfully achieved using neural network. Subsequently, the robustness of this approach to different conditions are provided.