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Text Search: Towards Fast Text Localization in Scene Images
2016 IEEE International Symposium on Multimedia (ISM), 2016We present an efficient approach to text localization. We restrict our attention to the text localization and refer to our method as 'text search'. In particular, we pre-trained a text detection ConvNet which skip the region proposal process, and integrates bounding boxes and text confidence score into the output layer.
Lei Yang +3 more
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Text localization using image cues and text line information
2010 IEEE International Conference on Image Processing, 2010Text localization is an important task in text understanding systems. In this paper, an efficient connected component based text localization method is proposed. Two image cues, edge and color, are combined to extract candidate text regions. The non-text regions in these candidate text regions are then removed by the text line information generated ...
Toan Nguyen Dinh +2 more
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Text-Edge-Box: An Object Proposal Approach for Scene Texts Localization
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017Text proposal has been gaining interest in recent years due to the great success of object proposal in categoriesindependent object localization. In this paper, we present a novel text-specific proposal technique that provides superior bounding boxes for accurate text localization in scenes.
Nguyen Van, Dinh +3 more
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Learning Text-Line Localization with Shared and Local Regression Neural Networks
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016Text line detection and localisation is a crucial step for full page document analysis, but still suffers from heterogeneity of real life documents. In this paper, we present a novel approach for text line localisation based on Convolutional Neural Networks and Multidimensional Long Short-Term Memory cells as a regressor in order to predict the ...
Moysset, Bastien +3 more
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Canny Text Detector: Fast and Robust Scene Text Localization Algorithm
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016This paper presents a novel scene text detection algorithm, Canny Text Detector, which takes advantage of the similarity between image edge and text for effective text localization with improved recall rate. As closely related edge pixels construct the structural information of an object, we observe that cohesive characters compose a meaningful word ...
Hojin Cho, Myungchul Sung, Bongjin Jun
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Localize and Segment Scene Text
2013In this paper, we present a scene text extraction approach which can realize text localization and segmentation simultaneously. Two popular paradigms (machine learning method and rule-based method) are combined to achieve competitive performance. For a given image, a sliding window is used to detect scene text.
Xiaoqian Liu, Weiqiang Wang
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Self-learning structure for text localization
2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017This paper presents a self-learning structure for text localization. The proposed system has an ability to improve itself automatically by analyzing unlabelled images. The system consists of three classification modules called component grader, component linker, and group classifier.
Supakorn Intaratat, Karn Patanukhom
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Video text localization based on Adaboost
Multimedia Tools and Applications, 2018Video text localization is an important step in video text recognition system for monitored control system, auto navigation system, content based image analysis system and so on. So it’s necessary to find a good method to extract text from video image accurately and quickly.
Fang Yin +3 more
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Localization of Text in Photorealistic Images
2019Detection and localization of text in photorealistic images is a difficult, and not yet completely solved, problem. We propose the approach to solving this problem based on the method of semantic image segmentation. In this interpretation, text characters are treated as objects to be segmented.
Grishkin Valery +2 more
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Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
Organizational Research Methods, 2022Louis Hickman, Padmini Srinivasan
exaly