Journal ArticleDOI
Color text extraction with selective metric-based clustering
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TLDR
This work proposes a selective metric-based clustering to extract textual information in real-world images based on physical light reflectance, thus enabling the processing of character segmentation into individual components to increase final recognition rates.About:
This article is published in Computer Vision and Image Understanding.The article was published on 2007-07-01. It has received 89 citations till now. The article focuses on the topics: RGB color space & Color image.read more
Citations
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Journal ArticleDOI
Text Detection and Recognition in Imagery: A Survey
Qixiang Ye,David Doermann +1 more
TL;DR: This review provides a fundamental comparison and analysis of the remaining problems in the field and summarizes the fundamental problems and enumerates factors that should be considered when addressing these problems.
Journal ArticleDOI
Robust Text Detection in Natural Scene Images
TL;DR: An accurate and robust method for detecting texts in natural scene images using a fast and effective pruning algorithm to extract Maximally Stable Extremal Regions (MSERs) as character candidates using the strategy of minimizing regularized variations is proposed.
Proceedings ArticleDOI
ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images
TL;DR: An overview of the approaches that the participants used, the evaluation measure, and the dataset used in the ICDAR 2011 Robust Reading Competition for detecting/recognizing text in natural scene images is presented.
Journal ArticleDOI
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
TL;DR: A hybrid approach to robustly detect and localize texts in natural scene images using a text region detector, a conditional random field model, and a learning-based energy minimization method are presented.
Journal ArticleDOI
Text String Detection From Natural Scenes by Structure-Based Partition and Grouping
Chucai Yi,Yingli Tian +1 more
TL;DR: A new framework to detect text strings with arbitrary orientations in complex natural scene images with outperform the state-of-the-art results on the public Robust Reading Dataset, which contains text only in horizontal orientation.
References
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Book
Finding Groups in Data: An Introduction to Cluster Analysis
TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.
Journal Article
Binary codes capable of correcting deletions, insertions, and reversals
Journal ArticleDOI
Finding Groups in Data: An Introduction to Chster Analysis
TL;DR: This book make understandable the cluster analysis is based notion of starsmodern treatment, which efficiently finds accurate clusters in data and discusses various types of study the user set explicitly but also proposes another.