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

The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

Text detection in natural scene images is an important prerequisite for many content-based
image analysis tasks. In this paper, we propose an accurate and robust method for detecting …

Text detection and localization in natural scene images is important for content-based image
analysis. This problem is challenging due to the complex background, the non-uniform …

Text information in natural scene images serves as important clues for many image-based
applications such as scene understanding, content-based image retrieval, assistive …

In this paper, we present a new scene text detection algorithm based on two machine
learning classifiers: one allows us to generate candidate word regions and the other filters …

In this paper, we propose a method based on the Laplacian in the frequency domain for
video text detection. Unlike many other approaches which assume that text is horizontally …

Scene text detection could be formulated as a bi-label (text and non-text regions)
segmentation problem. However, due to the high degree of intraclass variation of scene …

Conventional clustering algorithms utilize a single criterion that may not conform to the
diverse shapes of the underlying clusters. We offer a new clustering approach that uses …

This paper proposes a novel hybrid method to robustly and accurately localize texts in
natural scene images. A text region detector is designed to generate a text confidence map …