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A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method and a Sliding-Window Method
[chapter]
2015
Lecture Notes in Computer Science
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In this paper, we present a novel hybrid approach for detecting text robustly in natural scenes. ...
Text detection in images of natural scenes is important for scene understanding, content-based image analysis, assistive navigation and automatic geocoding. ...
Moreover, texts in natural scenes can appear anywhere in the image and can have different sizes and layouts. A great number of works deals directly with detection of text from natural images. ...
doi:10.1007/978-3-319-16631-5_8
fatcat:v6lk3gpnhnau3crmbogpulli6e
Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier
2016
International Journal of Image Graphics and Signal Processing
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The objective of this study is to propose a new method for text region localization and character extraction in natural scene images with complex background. ...
The results demonstrate the effectiveness of the proposed method, which can be used as an efficient method for text recognition in natural scene images. ...
ACKNOWLEDGMENT The authors acknowledge the K.L.E Technological University and BVBCET, Hubballi 580031, India, for the financial support under the -Capacity Building Projects‖ grants. ...
doi:10.5815/ijigsp.2016.05.02
fatcat:t3567x63vbextpizd67k6ijdqq
HMM-Based Multi Oriented Text Recognition in Natural Scene Image
2013
2013 2nd IAPR Asian Conference on Pattern Recognition
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Recognition of curved text in natural scene image is a challenging task. ...
The proposed approach has been tested on different natural scene benchmark as well as video databases, e.g. ICDAR-2003competition scene images, MSRA-TD500 and NUS. ...
However, these methods are developed for scanned images but not for scene text in natural scene images. Therefore, these methods cannot be applied on scene text directly due to complex background. ...
doi:10.1109/acpr.2013.60
dblp:conf/acpr/RoyRSLTP13
fatcat:nsw6orwdhjghtfoypgt7o5stiu
Techniques of Text Detection and Recognition: A Survey
2018
International Journal of Emerging Research in Management and Technology
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To detect text area in the image techniques of image segmentation is required which will segment the area in which text is present. ...
In this paper, various techniques of image segmentation and neural networks has been reviewed and discussed in terms of their outcomes. ...
ACKNOWLEDGMENT We thanks the reviewers for comments and suggesting and additional references. We also thanks to ECE department faculties to giving some useful suggestions. ...
doi:10.23956/ijermt.v6i6.250
fatcat:kf3lkqxkerg5belq42gvsktaba
Fully Convolutional Networks for Text Understanding in Scene Images
2020
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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The general aim of scene text understanding is to localize and recognize text in scene images. ...
Therefore, we took benefit of the strengths of FCN approaches in order to detect and recognize text in natural scenes images. ...
For the task of text detection, we have proposed an efficient text proposal technique in scene images. ...
doi:10.5565/rev/elcvia.1187
fatcat:3abuldtli5cnppd2ljpf5tsg4a
A REVIEW ON TEXT DETECTION TECHNIQUES
2016
Jurnal Teknologi
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Text detection in image is an important field. Reading text in image is challenging because of the variations in images. ...
Text detection in images is useful for many navigational purposes e.g. text on google API's and traffic panels etc. ...
[24] have worked on text detection and text restoration in natural image and presented a robust method for text detection, recognition and restoration. ...
doi:10.11113/jt.v78.8261
fatcat:aztfxahherempc2s4lk4gn25cy
ArbiText: Arbitrary-Oriented Text Detection in Unconstrained Scene
[article]
2017
arXiv
pre-print
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In this paper, we propose a novel method, namely Arbitrary-oriented Text (or ArbText for short) detector, for efficient text detection in unconstrained natural scene images. ...
Experiments on established scene-text datasets, such as the ICDAR 2015 and MSRA-TD500 datasets, have demonstrated the supe rior performance of the proposed method, compared to the state-of-the-art approaches ...
In summary, the contributions of our work mainly lie in three-fold: • We propose a novel proposal-free method for detecting arbitrary-oriented texts in unconstrained natural scene images, based on the ...
arXiv:1711.11249v1
fatcat:jcqx4vgo7jfqjd4ngb6wnzuhru
Arbitrary shape natural scene text detection method based on soft attention mechanism and dilated convolution
2020
IEEE Access
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methods, the proposed method is more robust and it can find smaller text blocks in the image due to the Loss Function calculation with Jaccard coefficient. ...
To tackle this problem, we propose a robust arbitrary shape text detection method called Soft Dilated network (SDnet). ...
However, in natural scene images, a text area usually occupies only a small region. ...
doi:10.1109/access.2020.3007351
fatcat:vaum76akpzfbxixrqqggppri6m
A Review on Text Detection Techniques
2015
VFAST Transactions on Software Engineering
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Text detection in image is an important field. Reading text is challenging because of the variations in images. ...
We have integrated the work of many researchers for getting a brief over view of multiple available techniques and their strengths and limitations are also discussed to give readers a clear picture. ...
[24] have worked on text detection and text restoration in natural image and presented a robust method for text detection, recognition and restoration. ...
doi:10.21015/vtse.v8i2.376
fatcat:7lkdoaecefakvbjxeehs3g4fmm
A Review on Fuzzy Logic Based Object Recognition Techniques
2017
International Journal for Research in Applied Science and Engineering Technology
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this paper discussed about various object recognition techniques such as text detection and recognition system based on a scalable feature learning algorithm and applied it to images of text in natural ...
A novel approach to learning shape prior models from images annotated with bounding boxes. Based on the shape representation of oriented edge points, our learning process is robust to clutter. ...
Detecting Text In Natural Scenes With Stroke Width Transform Detecting text in natural images, as opposed to scans of printed pages, faxes and business cards, is an important step for a number of Computer ...
doi:10.22214/ijraset.2017.10126
fatcat:4en674tvjnfinlawdwpvyrc5z4
Aggregating Local Context for Accurate Scene Text Detection
[chapter]
2017
Lecture Notes in Computer Science
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Here we propose a novel end-to-end scene text detection algorithm. ...
Scene text reading continues to be of interest for many reasons including applications for the visually impaired and automatic image indexing systems. ...
This work was supported by NSF grant CCF 1317560 and a hardware grant from NVIDIA. ...
doi:10.1007/978-3-319-54193-8_18
fatcat:aemkcqnybvaqnmhgjqqwiqvfca
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
[article]
2016
arXiv
pre-print
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Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability and complexity, thus ...
The ICDAR 2015 Robust Reading Competition Challenge 4 was launched to assess the performance of existing scene text detection and recognition methods on incidental texts as well as to stimulate novel ideas ...
CONCLUSIONS In this paper, we have presented our strategies for incidental text detection and recognition in natural scene images. ...
arXiv:1511.09207v2
fatcat:jxwj2hp6ozhojc5zgja3z2kuja
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
[article]
2020
arXiv
pre-print
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Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. ...
To tackle these problems, we propose Mask TextSpotter v3, an end-to-end trainable scene text spotter that adopts a Segmentation Proposal Network (SPN) instead of an RPN. ...
[17] proposed a scene text spotting method consisting of a proposal generation module, a random forest classifier to filter proposals, a CNN-based regression module for refining the proposals, and a ...
arXiv:2007.09482v1
fatcat:myfhwzw2crh3jev27jcimij4du
Robust Text Detection in Natural Scene Images
2014
IEEE Transactions on Pattern Analysis and Machine Intelligence
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2013 pre-print arXiv:1301.2628v2 fatcat:e5io6xdemzge5epv3t7srigabiOther Versions
In this paper, we propose an accurate and robust method for detecting texts in natural scene images. ...
Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. ...
ACKNOWLEDGMENTS The research was partly supported by National Basic Research Program of China (2012CB316301) and National Natural Science Foundation of China (61105018, 61175020). ...
doi:10.1109/tpami.2013.182
pmid:26353230
fatcat:gjtbg4njt5eezeyb4n2vvqiyry
Scene text detection and recognition: recent advances and future trends
2015
Frontiers of Computer Science
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In summary, this literature review can serve as a good reference for researchers in the areas of scene text detection and recognition. ...
The rich and precise information embodied in text is very useful in a wide range of vision-based applications, therefore text detection and recognition in natural scenes have become important, active research ...
Related Works on Scene Text Detection In the past two decades, researchers have proposed numerous methods for detecting texts in natural images or videos. ...
doi:10.1007/s11704-015-4488-0
fatcat:xbdoje6nzrathgadpnkkhb4xom
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