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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Journal ArticleDOI
A Weighted Hybrid Thresholding Approach for Text Binarization
S. N. Deepa,S. P. Victor +1 more
TL;DR: It is demonstrated that the proposed method achieved reasonable accuracy of the text extraction for moderately difficult examples and a weighted hybrid thresholding approach was proposed.
Proceedings ArticleDOI
An effective method in text detection and characters recognition using fuzzy theory
TL;DR: An algorithm for text detection and character recognition in colored images with the large number of colors by combining the detection and recognition steps improves the speed of algorithm execution than to past algorithms.
Journal ArticleDOI
Algoritmos de Binarización Robusta de Imágenes con Iluminación No Uniforme
TL;DR: In this article, the authors proposed a new binarization method for non-uniform illuminated text images, which uses two complementary illuminated images to improve the illumination of the original image.
Journal ArticleDOI
Adaptive enhancement and binarization techniques for degraded plate images
TL;DR: A new VLPR system is proposed by producing a contrast enhancement method, a background removal method, and a binarization method that causes the correct recognition rate of 91.2%.
Proceedings ArticleDOI
Latent Semantic Analysis (LSA) based object recognition and clustering
Vinaykumar Hebballi,Vidhu Rojit +1 more
TL;DR: This paper proposes a method which will overcome the problems like synonymy and polysemy, which is based on semantic information and results are more accurate than cosine similarity or vector space method.
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.