In this paper, we propose an efficient text detection method based on the Laplacian
operator. The maximum gradient difference value is computed for each pixel in the …

With the increasing popularity of digital cameras attached with various handheld devices,
many new computational challenges have gained significance. One such problem is …

We present a restoration framework to reduce undesirable distortions in imaged documents.
Our framework is based on two components:(1) an image inpainting procedure that can …

Authors use images to present a wide variety of important information in documents. For
example, two-dimensional (2-D) plots display important data in scientific publications. Often …

Most researchers have used edge, intensity, corner, and texture features for text localization
in video images. However, these features do not fully coincide with the features of the text …

In this paper, we propose a new method based on wavelet transform, statistical features and
central moments for both graphics and scene text detection in video images. The method …

The automatic detection and recognition of car number plates has become an important
application of artificial vision systems. Since the license plates can be replaced, stolen or …

Automated systems for understanding display boards are finding many applications useful in
guiding tourists, assisting visually challenged and also in providing location aware …

In this paper, we propose a new approach for accurate text localization in images based on
SVM (support vector machine) output scores. In general, SVM output scores for the …

This paper proposes a new approach for the multiple frame integration of video, whose
novelty mainly lies in three phases: Firstly, in the text-block group (TBG) identification, we …