A fast, table-lookup algorithm for classifying document images

We present a technique to speed up classification of document images such as web pages. The technique involves performing all computation off-line and building the results into tables, so that during actual classification the only operations performed are simple table-lookups. Results show that the probability of misclassification for table-look up gives good performance and the implementation is much faster