ICDAR 2003 robust reading competitions

Lucas, Simon M.; Panaretos, Alex; Sosa, Luis; Tang, Anthony; Wong, Stephanie E.; Young, R. Michael

doi:10.1109/icdar.2003.1227749

Cited by 417 publications

(246 citation statements)

References 9 publications

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“…Our evaluation method is quite similar to the ICDAR'03 detection protocol [49]. Let r denote the ground-truth SLRB, and r denote the corresponding detected SLRB.…”

Section: Experiments On Slrb Detectionmentioning

confidence: 99%

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Shan

Qiu

et al. 2018

Signal Processing: Image Communication

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In this paper, we propose an innovative end-to-end subtitle detection and recognition system for videos in East Asian languages. Our end-to-end system consists of multiple stages. Subtitles are firstly detected by a novel image operator based on the sequence information of consecutive video frames.Then, an ensemble of Convolutional Neural Networks (CNNs) trained on synthetic data is adopted for detecting and recognizing East Asian characters. Finally, a dynamic programming approach leveraging language models * Corresponding author tively, which is a significant outperformance of other existing methods. The near-perfect accuracy of our system dramatically narrows the gap between human cognitive ability and state-of-the-art algorithms used for such a task.

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“…Our evaluation method is quite similar to the ICDAR'03 detection protocol [49]. Let r denote the ground-truth SLRB, and r denote the corresponding detected SLRB.…”

Section: Experiments On Slrb Detectionmentioning

confidence: 99%

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Shan

Qiu

et al. 2018

Signal Processing: Image Communication

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“…The text shape issue detector (TSCD) layer, which includes several text shape detail detectors, is mainly designed for extracting Chinese language text structure features. Each of the textual content form trouble detectors is designed to extract the excellent skills of remarkable forms of Chinese language language person shape additives and S. M. Lucas, et al [8], explains to benefit a smooth image of the nation of work of analyzing text in scenes furthermore of the consequences using favored techniques of vicinity precision/recall into account in thoughts and edit distance given with the aid of a. Shahab, F. Shafait, and a. Dengel [9]. Lingxi Xie, Alan Yuille [11], MDD are done with the beneficial useful resource of comparing the diagnosed transcriptions with the canonical ones.…”

Section: Literature Surveymentioning

confidence: 99%

“…Utilization of the neural networks for photo processing advanced specially because of improvement in technology that allowed improvement of algorithms for schooling neural networks and additionally creates the complex featured neural community architectures and blueprint of the community. Artificial neural network is can be utilized in the OCR packages as smooth classifiers or as combination of feature extractor and classifiers and art work in every the strategies which is probably defined [8]. The important thing disadvantage of the lower back-propagation again is that it does now not guarantee that the neural community will converge to a worldwide minimal.…”

Section: Introductionmentioning

confidence: 99%

Detection of Optical Characters Using Text Structure Modeling

Kapale¹,

Ghonge²

2018

IJET

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The basic use of back propagation(bp) neural network for textual content categorization and category in addition to type and could gather high everyday giant overall performance and accuracy. But, the high-quality drawback of this network is its prolonged training time. The genetic algorithm is regularly used to generate weights on network layer and beneficial for optimization. In proposed system we employ the mixture of each genetic set of rules and the returned propagation neural community for text categorization additionally the usage of the textual content structure we will understand the unique enter object through using characteristic extraction input item. We're able to use the genetic algorithm to reduce weights of edges within the but returned propagation neural community in used to backpropagating techniques. On the equal body, we are able to used to enhance the genetic algorithm to increase its performance and accuracy of neural network.

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“…We evaluate our proposed method on the Location Detection Database of ICDAR 03 Robust Reading Competition Set [14]. The dataset contains 258 training images and 249 validation images which contain 1107 text regions.…”

Section: Datasets and Evaluationmentioning

confidence: 99%

“…The detection task requires to automatically locating text lines in every test image. The results of the different methods are evaluated with the recall, precision and f, which are the same to ICDAR2003 competition [14]. The recall(r) and the precision (p) are defined as follows:…”

Section: Datasets and Evaluationmentioning

confidence: 99%

Text Particles Multi-band Fusion for Robust Text Detection

Yao

et al.

Lecture Notes in Computer Science

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Abstract. Texts in images and videos usually carry important information for visual content understanding and retrieval. Two main restrictions exist in the state-of-the-art text detection algorithms: weak contrast and text-background variance. This paper presents a robust text detection method based on text particles (TP) multi-band fusion to solve there problems. Firstly, text particles are generated by their local binary pattern of pyramid Haar wavelet coefficients in YUV color space. It preserves and uniforms text-background contrasts while extracting multi-band information. Secondly, the candidate text regions are generated via density-based text particle multi-band fusion, and the LHBP histogram analysis is utilized to remove non-text regions. Our TP-based detection framework can robustly locate text regions regardless of diversity sizes, colors, rotations, illuminations and text-background contrasts. Experiment results on ICDAR 03 over the existing methods demonstrate the robustness and effectiveness of the proposed method.

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ICDAR 2003 robust reading competitions

Cited by 417 publications

References 9 publications

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Detection of Optical Characters Using Text Structure Modeling

Text Particles Multi-band Fusion for Robust Text Detection

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