Data quality is a critical aspect of applications that support business operations. Often entities are represented more than once in data repositories. Since duplicate records do not share a common key, they are hard to detect. Duplicate detection over text is usually performed using lexical approaches, which do not capture text sense. The difficulties increase when the duplicate detection must...

Embedded-Text Detection and Its Application to Anti-Spam Filtering Ching-Tung Wu Embedded-text in images usually carry important messages about the content. In the past, several algorithms have been proposed to detect text boxes in video frames. Previous work often followed a multi-step framework using a combination of image-analysis and machine-learning techniques. In this work, we propose a u...

The automatic detection of text within a natural image is an important problem in many applications. Text detection in natural images has gained much attention in the last years as it is a primary step towards fully autonomous text recognition. It needs to be fast, efficient and robust in order to feed an OCR classifier with the correct input. In other words, segmented regions must correspond t...

*Correspondence: [email protected] †Equal contributors 1Department of Computer Science and Technology, University of Science and Technology Beijing, Beijing 100083, China 2Beijing Key Laboratory of Materials Science Knowledge Engineering, University of Science and Technology Beijing, Beijing 100083, China Abstract Background: In recent years, video becomes the dominant resource of informat...

Line recognition is an important aspect in image processing. Many line detection algorithms were introduced. Hough Transform for line detection is difficult to accelerate using the GPU because it essentially requires rasterization of sinusoids into a highresolution raster of accumulators, which is not a suitable task for GPU. In this paper, a GPU implementation of the PClines a new parameteriza...

The aim of phishing is tracing the users' s private information without their permission by designing a new website which mimics the trusted website. The specialists of information technology do not agree on a unique definition for the discriminative features that characterizes the phishing websites. Therefore, the number of reliable training samples in phishing detection problems is limited. M...

Page 87, right hand column, line 1, “Stinging Nettle Root” should be “stinging nettle leaf extract 4:1 Ratio”. 1. Page 87, left column, Supplements section, line 3 “10 mg” should be “7 mg” 2. Page 87, left column, Supplements Section, line 3 the text “(sourced from Norway Spruce/Picea abies)” 3. should be added after “HMR lignans” Page 87, left column, Supplements Section, line 5 the text “seed...

There are a variety of grand challenges for text extraction in scene videos by robots and users, e.g., heterogeneous background, varied text, nonuniform illumination, arbitrary motion and poor contrast. Most previous video text detection methods are investigated with local information, i.e., within individual frames, with limited performance. In this paper, we propose a unified tracking based t...

In this paper, we propose an approach to scene text detection that leverages both the appearance and consensus of connected components. Component appearance is modeled with an SVM based dictionary classifier and the component consensus is represented with color and spatial layout features. Responses of the dictionary classifier are integrated with the consensus features into a discriminative mo...

Text detection in color images has become an active research area in the past few decades. In this paper, we present a novel approach to accurately detect text in color images possibly with a complex background. The proposed algorithm is based on the combination of connected component and texture feature analysis of unknown text region contours. First, we utilize an elaborate color image edge d...