Multi-types Court E-File Classification System

Abstract

When handling cases, the courts spend a lot of time and effort on the classification of electronic files. This paper discusses a classification system that intelligently classifies scanned images for uploading. We have proposed corresponding solutions to the various effects of scanning on E-File for lots of reasons. Then we designed two sets of different algorithms to achieve the classification by the features that were classified into two categories of documents and pictures. In reality, using this system shows the classification accuracy is 92%, greatly improving the efficiency of staff to reduce their burden.