A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Filters
On Combining Multiple Segmentations in Scene Text Recognition
2013
2013 12th International Conference on Document Analysis and Recognition
Preserved Fulltext
An end-to-end real-time scene text localization and recognition method is presented. ...
The three main novel features are: (i) keeping multiple segmentations of each character until the very last stage of the processing when the context of each character in a text line is known, (ii) an efficient ...
INTRODUCTION Text localization and recognition in real-world images (i.e. scene text localization and detection, photo OCR) is a field of computer vision which has recently received significant attention ...
doi:10.1109/icdar.2013.110
dblp:conf/icdar/NeumannM13
fatcat:wkcwb4627betblxljc4kpv2n24
Research and Analysis of Scene Text Detection and Recognition Technology Based on Deep Learning
2022
Innovative Computing Information and Control Express Letters, Part B: Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
based on segmentation in the text detection technology are summarized. ...
With the development of deep learning technology in the field of computer vision, there are breakthroughs in scene text detection and text recognition technology. ...
In scene text detection method based on segmentation, a classification problem of text/background is usually regarded the text detection problem based on idea of semantic segmentation. Long et al. ...
doi:10.24507/icicelb.13.04.363
fatcat:ugihkbuu5vf63pvk36al4vzktm
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In the end-to-end training procedure for scene text recognition, the outputs of deep neural networks at different iterations are always demonstrated with diversity and complementarity for the target object ...
(text). ...
Scene text (cropped word) recognition methods can be generally grouped into segmentation-based word recognition and holistic word recognition. ...
arXiv:1710.03425v1
fatcat:4yxo7yjh3zeszggwtbyxyfjssm
Automatic text recognition in digital videos
1996
Image and Video Processing IV
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
The recognition results of multiple instances of the same character throughout subsequent frames are combined to enhance recognition result and to compute the final output. ...
The algorithms we propose make use of typical characteristics of text in videos in order to enhance segmentation and, consequently, recognition performance. ...
Section 2 reviews related work on text segmentation and text recognition in videos. ...
doi:10.1117/12.234741
fatcat:ot2256pc6rh6tlcrpdrbgfd5qa
Survey on Text Detection, Segmentation and Recognition from a Natural Scene Images
2014
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
To understand the contents of an image or the valuable information, there is need of analyzing the text appears in it. ...
Various methods have been proposed over past years for text detection and extraction from different types of images, like scene image, born digital image and document image. ...
Existing Methods for Scene Character Recognition Qi Zheng proposed recognition of characters using segmentation algorithm with multiple-size sliding subwindows. ...
doi:10.5120/18974-0472
fatcat:ohse2cfxxbbydgq2o4r3u4vd2i
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Recent end-to-end trainable methods for scene text spotting, integrating detection and recognition, showed much progress. ...
The former presents difficulties in handling text instances of extreme aspect ratios or irregular shapes, and the latter often includes multiple neighboring instances into a single proposal, in cases of ...
Scene text spotting/end-to-end recognition is a task that combines the two tasks, requiring both detection and recognition. ...
arXiv:2007.09482v1
fatcat:myfhwzw2crh3jev27jcimij4du
Indexing and retrieval of digital video sequences based on automatic text recognition
1996
Proceedings of the fourth ACM international conference on Multimedia - MULTIMEDIA '96
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
One powerful index for retrieval is the text appearing in them. It enables contentbased browsing. We present our methods for automatic segmentation and recognition of text in digital videos. ...
It is used in the experiments to demonstrate that the proposed text segmentation and text recognition algorithms are suitable for indexing and retrieval of relevant video scenes in and from a video database ...
ACKNOWLEDGEMENTS We thank Oliver Schuster and Frank Stuber for helping us with the implementation of the character segmentation algorithms and Frank Stuber for his implementation of the OCR module. ...
doi:10.1145/244130.244450
fatcat:tt2k5ewpajfivmdv4n5vdcb5pi
Text Detection and Recognition in Imagery: A Survey
2015
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper analyzes, compares, and contrasts technical challenges, methods, and the performance of text detection and recognition research in color imagery. ...
Existing techniques are categorized as either stepwise or integrated and subproblems are highlighted including text localization, verification, segmentation and recognition. ...
Text line segmentation The function of text line segmentation is to convert a region of multiple text lines into multiple sub-regions of single text lines. ...
doi:10.1109/tpami.2014.2366765
pmid:26352454
fatcat:cuz3qhkglnahdebxqptbsgpjmm
Scene Text Recognition: No Country for Old Men?
[chapter]
2015
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper we confirm this finding with a set of experiments where two off-the-shelf OCR engines are combined with an open implementation of a state-of-the-art scene text detection framework. ...
The obtained results demonstrate that in such pipeline, conventional OCR solutions still perform competitively compared to other solutions specifically designed for scene text recognition. ...
of the scene text detection module evaluated in this paper. ...
doi:10.1007/978-3-319-16631-5_12
fatcat:3dosj2myhvh7xls22lrsxx3cma
Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions
2014
2014 22nd International Conference on Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The segmentation of scene text from the image background has shown great importance in scene text recognition. ...
The proposed method is evaluated on the ICDAR2003 and SVT datasets and experiments show that it outperforms both popular document image binarization methods and state of the art scene text segmentation ...
The final text segmentation output is obtained by combining the results from the R, G, B color channels in two polarities (bright text on dark background and dark text on bright background). ...
doi:10.1109/icpr.2014.467
dblp:conf/icpr/TianLST14
fatcat:nzi7x24smjdrfk552whhlwenry
Scene Character Detection and Recognition with Cooperative Multiple-Hypothesis Framework
2013
IEICE transactions on information and systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Without the aid of the heuristic rules which impose constraints on segmentation area, aspect ratio, color consistency, text line orientations, etc., the integration module automatically prunes the redundant ...
We perform experiments on the benchmark ICDAR 2011 Robust Reading Competition dataset which includes a text localization task and a word recognition task. ...
The core idea of the proposed framework is to approximate the optimal segmentation by combining multiple quasi-optimal hypothe- ses. ...
doi:10.1587/transinf.e96.d.2235
fatcat:gsrtcmjpurdqbfsetkiiwjl73m
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Deep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision. ...
In this paper, we propose a feasible framework for multi-lingual arbitrary-shaped STR, including instance segmentation based text detection and language model based attention mechanism for text recognition ...
latter scene text recognition. ...
arXiv:1912.04561v2
fatcat:5rtipn2hsjefjifv57ouizawoi
Parallel processing considerations for image recognition tasks
2011
Parallel Processing for Imaging Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Many image recognition tasks are well-suited to parallel processing. The most obvious example is that many imaging tasks require the analysis of multiple images. ...
Finally, parallel processing by meta-algorithm allows different algorithms to be deployed on the same image simultaneously. This approach may result in improved accuracy. ...
Handwriting recognition has essentially the same approach, except that handwriting, not text, is analyzed. OCR can also be used in combination with scene recognition (Section 2.2). ...
doi:10.1117/12.879645
dblp:conf/ppia/Simske11
fatcat:oad7gfwshfhz5pwh3ghwpq5d3a
Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier
2016
International Journal of Image Graphics and Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In the third step, detection of multiple lines in localized text regions is done and line segmentation is performed using horizontal profiles. ...
The results demonstrate the effectiveness of the proposed method, which can be used as an efficient method for text recognition in natural scene images. ...
Potential technologies may include recognition of texts in natural scene images, text-to-speech conversion and so on. ...
doi:10.5815/ijigsp.2016.05.02
fatcat:t3567x63vbextpizd67k6ijdqq
Menu Text Recognition of Few-shot Learning
2022
Journal of New Media
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
while maintaining uniform loss, thus optimizing script recognition and multiple recognition headers simultaneously. ...
However, many existing methods usually focus on case insensitive English characters. ...
With increasingly complex demand for text recognition, the demand for text recognition in natural scenes is becoming stronger and stronger [9] . Shi et al. ...
doi:10.32604/jnm.2022.027890
fatcat:isqglpuxhvfmlkqtb4kn35rwju
« Previous
Showing results 1 — 15 out of 39,671 results