Proceedings ArticleDOI
Text localization, enhancement and binarization in multimedia documents
Christian Wolf,J.-M. Jolion,Francoise Chassaing +2 more
- Vol. 2, pp 1037-1040
TLDR
An algorithm to localize artificial text in images and videos using a measure of accumulated gradients and morphological post processing to detect the text is presented and the quality of the localized text is improved by robust multiple frame integration.Abstract:
The systems currently available for content based image and video retrieval work without semantic knowledge, i.e. they use image processing methods to extract low level features of the data. The similarity obtained by these approaches does not always correspond to the similarity a human user would expect. A way to include more semantic knowledge into the indexing process is to use the text included in the images and video sequences. It is rich in information but easy to use, e.g. by key word based queries. In this paper we present an algorithm to localize artificial text in images and videos using a measure of accumulated gradients and morphological post processing to detect the text. The quality of the localized text is improved by robust multiple frame integration. Anew technique for the binarization of the text boxes is proposed. Finally, detection and OCR results for a commercial OCR are presented.read more
Citations
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Proceedings ArticleDOI
Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application
Konkimalla Chandra Prakash,Y. M. Srikar,Gayam Trishal,Souraj Mandai,Sumohana S. Channappayya +4 more
TL;DR: A database of Telugu characters, a deep learning based OCR algorithm, and a client server solution for the online deployment of the algorithm are made available.
Proceedings ArticleDOI
A Comprehensive Motion Videotext Detection Localization and Extraction Method
TL;DR: A low computation method to detect and localize the scrolling videotexts to provide this information and an extraction method to extract the videotesxts can be extracted well.
Proceedings ArticleDOI
Sequential Monte Carlo video text segmentation
Datong Chen,Jean-Marc Odobez +1 more
TL;DR: A probabilistic algorithm for segmenting and recognizing text embedded in video sequences that approximates the posterior distribution of segmentation thresholds of video text by a set of weighted samples is presented.
Journal ArticleDOI
A novel character segmentation method for serial number on banknotes with complex background
TL;DR: A novel method which is composed of a hybrid binarization algorithm (HybridB) and an adaptive character extraction algorithm (ACE) which outperforms the other state-of-the-art algorithms in most cases for serial number recognition.
Journal ArticleDOI
Unsupervised neural domain adaptation for document image binarization
TL;DR: This paper proposes a method that combines neural networks and DA in order to carry out unsupervised document binarization, and measures the similarity between domains in an innovative manner to determine whether or not it is appropriate to apply the adaptation process.
References
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IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
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Goal-directed evaluation of binarization methods
O.D. Trier,Anil K. Jain +1 more
TL;DR: This paper presents a methodology for evaluation of low-level image analysis methods, using binarization (two-level thresholding) as an example, and defines the performance of the character recognition module as the objective measure.
Proceedings ArticleDOI
Automatic text location in images and video frames
Anil K. Jain,Bin Yu +1 more
TL;DR: Compared with some traditional text location methods, this method has the following advantages: 1) low computational cost; 2) robust to font size; and 3) high accuracy.