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On Combining Multiple Segmentations in Scene Text Recognition

Luka Neumann, Jiri Matas
2013 2013 12th International Conference on Document Analysis and Recognition  
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

Yanju Liu, Xinhai Yi, Yange Li, Huiyu Zhang, Yanzhong Liu
2022 Innovative Computing Information and Control Express Letters, Part B: Applications  
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]

Chun Yang, Xu-Cheng Yin, Zejun Li, Jianwei Wu, Chunchao Guo, Hongfa Wang, Lei Xiao
2017 arXiv   pre-print
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

Rainer W. Lienhart, Frank Stuber, Robert L. Stevenson, M. Ibrahim Sezan
1996 Image and Video Processing IV  
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

Uma B.Karanje, Rahul Dagade
2014 International Journal of Computer Applications  
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]

Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai
2020 arXiv   pre-print
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

Rainer Lienhart
1996 Proceedings of the fourth ACM international conference on Multimedia - MULTIMEDIA '96  
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

Qixiang Ye, David Doermann
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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]

Lluís Gómez, Dimosthenis Karatzas
2015 Lecture Notes in Computer Science  
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

Shangxuan Tian, Shijian Lu, Bolan Su, Chew Lim Tan
2014 2014 22nd International Conference on Pattern Recognition  
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

Rong HUANG, Palaiahnakote SHIVAKUMARA, Yaokai FENG, Seiichi UCHIDA
2013 IEICE transactions on information and systems  
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]

Jinjin Zhang, Wei Wang, Di Huang, Qingjie Liu, Yunhong Wang
2019 arXiv   pre-print
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

Steven J. Simske, John D. Owens, I-Jong Lin, Yu-Jin Zhang, Giordano B. Beretta
2011 Parallel Processing for Imaging Applications  
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

Shivananda V. Seeri, J. D. Pujari, P. S. Hiremath
2016 International Journal of Image Graphics and Signal Processing  
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

Xiaoyu, Tian Zhenzhen, Xin Zihao, Liu Suolan, Chen Fuhua, Wang Hongyuan
2022 Journal of New Media  
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
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