This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

This article presents an improved version of Fractional Order Darwinian PSO (IFODPSO) for
segmenting 3D histogram-based color images at multiple levels of Berkley Segmentation …

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 …

Separation of text and non-text is an essential processing step for any document analysis
system. Therefore, it is important to have a clear understanding of the state-of-the-art of …

Page segmentation is a fundamental and challenging task in document image analysis due
to the layout diversity. In this work, we propose a pixel-wise segmentation method for …

Layout analysis is a fundamental process in document image analysis and understanding. It
contains three key sub-processes which are page segmentation, text line segmentation and …

One of the major applications of text retrieval from images is to extract the text information
and then recognize its characters. This is helpful for indexing the images within storage …

A separation of text and non-text elements plays an important role in document layout
analysis. A number of approaches have been proposed but the quality of separation result is …

This study proposes a vision-based intelligent nighttime driver assistance and surveillance
system (VIDASS system) implemented by a set of embedded software components and …