저화질 문서영상을 인식을 위한 영상처리

Abstract

This paper propose image processing algorithms of degraded document images for character recognition. Firstly, This paper proposes an algorithm detecting the skew of the degraded document images using edge and correcting it. The proposed algorithm detects edges in a character region selected by image complexity and generates projection histograms by projecting them to various directions. And then it detects the document skew by estimating the edge concentrations in the histograms and corrects the skewed document image. Secondly, This paper proposes an adaptive binarization algorithm which is highly effective for a degraded document image including printed characters. The proposed algorithm solves the conventional algorithm’s problem by adding a vertical-directional reference adaptive binarization algorithm to an omni-directional reference one. The simulation results show the proposed algorithms work properly for degraded document images.