2019 International Conference on Document Analysis and Recognition (ICDAR)

Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00107 ◽

2019 ◽

Cited By ~ 2

Author(s):

Zelin Hong ◽

Ning You ◽

Jun Tan ◽

Ning Bi

Keyword(s):

Transition Probability ◽

Mathematical Expression ◽

Transition Probability Matrix ◽

Expression Recognition ◽

Mathematical Expression Recognition

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ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00245 ◽

2019 ◽

Cited By ~ 2

Author(s):

Christian Clausner ◽

Apostolos Antonacopoulos ◽

Stefan Pletschacher

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A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00131 ◽

2019 ◽

Author(s):

Vinh Loc Cu ◽

Jean-Christophe Burie ◽

Jean-Marc Ogier ◽

Cheng-Lin Liu

Keyword(s):

Data Hiding

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Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic Indexing

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00026 ◽

2019 ◽

Cited By ~ 4

Author(s):

Alejandro Hector Toselli ◽

Veronica Romero ◽

Joan Andreu Sanchez ◽

Enrique Vidal

Keyword(s):

Large Scale ◽

Textual Features ◽

Manuscript Collections ◽

Probabilistic Indexing

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Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00228 ◽

2019 ◽

Cited By ~ 2

Author(s):

Paloma G. S. Silva ◽

Celso A. M. L. Junior ◽

Estanislau B. Lima ◽

Byron L. D. Bezerra ◽

Cleber Zanchettin

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Segmentation Process ◽

Handwritten Signature

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ICDAR 2019 Competition on Post-OCR Text Correction

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00255 ◽

2019 ◽

Cited By ~ 1

Author(s):

Christophe Rigaud ◽

Antoine Doucet ◽

Mickael Coustaty ◽

Jean-Philippe Moreux

Keyword(s):

Text Correction

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A Robust Hybrid Approach for Textual Document Classification

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00224 ◽

2019 ◽

Author(s):

Muhammad Nabeel Asim ◽

Muhammad Usman Ghani Khan ◽

Muhammad Imran Malik ◽

Andreas Dengel ◽

Sheraz Ahmed

Keyword(s):

Hybrid Approach ◽

Document Classification

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Text Line Segmentation in Historical Document Images Using an Adaptive U-Net Architecture

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00066 ◽

2019 ◽

Cited By ~ 5

Author(s):

Olfa Mechi ◽

Maroua Mehri ◽

Rolf Ingold ◽

Najoua Essoukri Ben Amara

Keyword(s):

Text Line ◽

Document Images ◽

Historical Document ◽

Text Line Segmentation ◽

Line Segmentation

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Fast Distributional Smoothing for Regularization in CTC Applied to Text Recognition

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00056 ◽

2019 ◽

Author(s):

Ryohei Tanaka ◽

Soichiro Ono ◽

Akio Furuhata

Keyword(s):

Text Recognition

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OBC306: A Large-Scale Oracle Bone Character Recognition Dataset

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00114 ◽

2019 ◽

Author(s):

Shuangping Huang ◽

Haobin Wang ◽

Yongge Liu ◽

Xiaosong Shi ◽

Lianwen Jin

Keyword(s):

Character Recognition ◽

Large Scale

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2019 International Conference on Document Analysis and Recognition (ICDAR)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition

ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019

A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents

Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic Indexing

Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network

ICDAR 2019 Competition on Post-OCR Text Correction

A Robust Hybrid Approach for Textual Document Classification

Text Line Segmentation in Historical Document Images Using an Adaptive U-Net Architecture

Fast Distributional Smoothing for Regularization in CTC Applied to Text Recognition

OBC306: A Large-Scale Oracle Bone Character Recognition Dataset

Export Citation Format

2019 International Conference on Document Analysis and Recognition (ICDAR)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition

ICDAR2019 Competition on Recognition of Documents with Complex Layouts - RDCL2019

A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents

Making Two Vast Historical Manuscript Collections Searchable and Extracting Meaningful Textual Features Through Large-Scale Probabilistic Indexing

Speeding-up the Handwritten Signature Segmentation Process through an Optimized Fully Convolutional Neural Network

ICDAR 2019 Competition on Post-OCR Text Correction

A Robust Hybrid Approach for Textual Document Classification

Text Line Segmentation in Historical Document Images Using an Adaptive U-Net Architecture

Fast Distributional Smoothing for Regularization in CTC Applied to Text Recognition

OBC306: A Large-Scale Oracle Bone Character Recognition Dataset

2019 International Conference on Document Analysis and Recognition (ICDAR)
Latest Publications