This study presents a new method, namely the multi-plane segmentation approach, for
segmenting and extracting textual objects from various real-life complex document images …

The paper deals with a suitably designed system that is being used to separate textual
regions from graphics regions and locate textual data from textured background. We …

A deep convolutional neural network model is presented here which uses deep learning
features for text and non-text region segmentation from document images. The key objective …

Before the step for text recognition, a text image needs to be segmented into foreground
containing only the text area and background. In this paper, a method is proposed for …

Text contained in images and video frames provide important clues for information indexing
and retrieval. But it is difficult to segment text from images, especially those images with …

In this paper an efficient approach for segmentation of the individual characters from
scanned documents typed on old typewriters is proposed. The approach proposed in this …

Text detection and segmentation is an important prerequisite for many content based image
analysis tasks. The paper proposes a novel text extraction and character segmentation …

Often we encounter documents with text printed on complex color background. Readability
of textual contents in such documents is very poor due to complexity of the background and …

We propose a new method for achieving robust text segmentation in images by using a
stroke filter. It is known that to segment text accurately and robustly from a complex …

Extraction of textual information from natural scene images is a challenging task due to
imaging conditions and diversity of text properties. Segmentation of scene text is important …