The invention provides a fast document type recognition method based on full-sized
feature extraction. The method comprises the following steps of document image preprocessing, including image zooming, graying and
noise filtering; document image
feature extraction, including Hessian matrix building,
scale space generation, primary determination of feature points, precise positioning of the feature points, main direction determination of selected feature points, feature point descriptor construction and feature value
string generation; document image feature value comparison, including
document similarity calculation and comparison
algorithm optimization. According to the method, an image is preprocessed through
software, and additional hardware equipment does not need to be added. According to the method, the scale-
invariant feature is creatively introduced for improving a typical SURF
feature extraction algorithm, so that the problem of matching failure due to error amplification of the SURF
algorithm caused by scale variations is fundamentally solved. The method has the
advantage that a multi-thread technology and a large cache are used for solving the problems of large data volume calculation during comparison and the harsh time requirement of a user on an electronic government affair platform.