Text Line and Paragraph Segmentation Based on simple Mumford Shah Model
Text line and Paragraph segmentation in handwritten documents is an important stage in document image processing.The paper presents a new text line and Paragraph segmentation method based on the simple Mumford Shah model.The algorithm is script independent.To enhance the efficiency of text line and paragraph segmentation,firstly,we exploit Gaussian Filter to smooth the text document.Then we use level set algorithm to solve the simple Mumford Shah model.In addition,we use morphing to remove overlaps between neighboring text lines and connect broken ones.Experimental results show using this method can segment document image's target fast and accurately.It's an effective and robust approach for text line and paragraph segmentation with noise,irrespective of edge continuous information and curve initial position.