Semi Automatic Color Segmentation of Document Pages

TL;DR

This paper introduces a semi-automatic method for segmenting color documents into uniform color regions, aiding administrative document analysis by identifying semantic color-coded areas efficiently.

Contribution

It proposes a user-guided learning approach combined with automatic batch processing for color segmentation in documents, improving efficiency and accuracy.

Findings

High segmentation accuracy demonstrated

Fast processing times achieved

Effective identification of semantic regions

Abstract

-This paper presents a semi automatic method used to segment color documents into different uniform color plans. The practical application is dedicated to administrative documents segmentation. In these documents, like in many other cases, color has a semantic meaning: it is then possible to identify some specific regions like manual annotations, rubber stamps or colored highlighting. A first step of user-controlled learning of the desired color plans is made on few sample documents. An automatic process can then be performed on the much bigger set as a batch. Our experiments show very interesting results in with a very competitive processing time.