Fast classification using weighted distortion

We present a fast classification technique for document images such as Web pages and for information retrieval. The technique involves performing all computations off-line and building the results into tables, so that during actual classification the only operations performed are simple table-lookups. We also introduce a distortion measure that is suitable for classification. Results show that the probability of misclassification for table-lookup gives good performance and the implementation is fast.