Proceedings ArticleDOI
Edge Based Binarization for Video Text Images
Zhou Zhiwei,Li Linlin,Tan Chew Lim +2 more
- pp 133-136
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TLDR
A binarization method based on edge for video text images, especially for images with complex background or low contrast, that utilizes a local thresholding method and fills up the contour to form characters that are recognizable to OCR software.Abstract:
This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast. The binarization method first detects the contour of the text, and utilizes a local thresholding method to decide the inner side of the contour, and then fills up the contour to form characters that are recognizable to OCR software. Experiment results show that our method is especially effective on complex background and low contrast images.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
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long,Xin He,Cong Yao +2 more
TL;DR: Jiang et al. as mentioned in this paper summarized and analyzed the major changes and significant progresses of scene text detection and recognition in the deep learning era, highlighting recent techniques and benchmarks, and looking ahead into future trends.
Posted Content
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long,Xin He,Cong Yao +2 more
TL;DR: This survey is aimed at summarizing and analyzing the major changes and significant progresses of scene text detection and recognition in the deep learning era.
Journal ArticleDOI
Performance Evaluation Methodology for Historical Document Image Binarization
TL;DR: This paper addresses a pixel-based binarization evaluation methodology for historical handwritten/machine-printed document images using a weighting scheme that diminishes any potential evaluation bias.
Journal ArticleDOI
Functional approach to high-throughput plant growth analysis.
TL;DR: Experimental results on model plant Arabidopsis thaliana show that, compared to an existing approach, HPGA reduces the error rate of measuring plant area by half, and raises a hypothesis that knocking out cfq changes the sensitivity of the energy distribution under fluctuating light conditions to repress leaf growth.
References
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TL;DR: Applications of gradient estimation to pattern recognition are presented using clustering and intrinsic dimensionality problems, with the ultimate goal of providing further understanding of these problems in terms of density gradients.
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Proceedings ArticleDOI
A Laplacian Method for Video Text Detection
TL;DR: The proposed text detection method outperforms three existing methods in terms of detection and false positive rates and employs empirical rules to eliminate false positives based on geometrical properties.
Proceedings ArticleDOI
Efficient video text recognition using multiple frame integration
TL;DR: This work uses multiple frame verification to reduce text detection false alarms and applies a block-based adaptive thresholding procedure to form a clearer "man-made" frame that is sent to an OCR engine for recognition.