Structured document classification by matching local salient features

Following the recent trend in using low level image features in classifying document images, in this paper we present a novel approach for structured document classification by matching the salient feature points between the query image and the reference images. Our method is robust to diverse training data size, image formats and qualities. Through matching the feature points, image registration is available for the query image as well. Although we aimed for the large domain of the structured document images, our method already achieved zero error rates in the tests on the benchmark NIST tax form databases.