2015 13th International Conference on Document Analysis and Recognition (ICDAR)
Latest Publications

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264

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Published By IEEE

9781479918058

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Object proposals for text extraction in the wild

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333753 ◽

2015 ◽

Cited By ~ 8

Author(s):

Lluis Gomez ◽

Dimosthenis Karatzas

Keyword(s):

Text Extraction ◽

Object Proposals ◽

In The Wild

Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333880 ◽

2015 ◽

Cited By ~ 8

Author(s):

Jun Du ◽

Jian-Fang Zhai ◽

Jin-Shui Hu ◽

Bo Zhu ◽

Si Wei ◽

...

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks ◽

Character Recognition ◽

Chinese Character ◽

Chinese Character Recognition ◽

Handwritten Chinese Character Recognition ◽

Adaptive Feature Extraction

Recognizing perspective scene text with context feature

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333817 ◽

2015 ◽

Cited By ~ 1

Author(s):

Anna Zhu ◽

Yangbo Dong ◽

Guoyou Wang

Keyword(s):

Scene Text

Unsupervised feature learning for optical character recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333920 ◽

2015 ◽

Cited By ~ 3

Author(s):

Devendra K Sahu ◽

C. V. Jawahar

Keyword(s):

Character Recognition ◽

Optical Character Recognition ◽

Feature Learning ◽

Unsupervised Feature Learning ◽

Optical Character

Organizing committee

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333712 ◽

2015 ◽

Benchmarking discriminative approaches for word spotting in handwritten documents

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333752 ◽

2015 ◽

Cited By ~ 2

Author(s):

Gautier Bideault ◽

Luc Mioulet ◽

Clement Chatelain ◽

Thierry Paquet

Keyword(s):

Word Spotting ◽

Handwritten Documents

Handedness detection of online handwriting based on horizontal strokes

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333953 ◽

2015 ◽

Cited By ~ 2

Author(s):

Erika Griechisch ◽

Erika Bencsik

Keyword(s):

Online Handwriting

Evaluation of deep convolutional nets for document image classification and retrieval

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333910 ◽

2015 ◽

Cited By ~ 52

Author(s):

Adam W. Harley ◽

Alex Ufkes ◽

Konstantinos G. Derpanis

Keyword(s):

Image Classification ◽

Document Image

Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333773 ◽

2015 ◽

Cited By ~ 5

Author(s):

Masanori Goto ◽

Ryosuke Ishida ◽

Seiichi Uchida

Keyword(s):

Character Recognition ◽

Large Scale ◽

Support Vector ◽

Neighborhood Graph ◽

Relative Neighborhood Graph

The LIMSI handwriting recognition system for the HTRtS 2014 contest

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333731 ◽

2015 ◽

Cited By ~ 4

Author(s):

Theodore Bluche ◽

Hermann Ney ◽

Christopher Kermorvant

Keyword(s):

Handwriting Recognition ◽

Recognition System

2015 13th International Conference on Document Analysis and Recognition (ICDAR)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Object proposals for text extraction in the wild

Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition

Recognizing perspective scene text with context feature

Unsupervised feature learning for optical character recognition

Organizing committee

Benchmarking discriminative approaches for word spotting in handwritten documents

Handedness detection of online handwriting based on horizontal strokes

Evaluation of deep convolutional nets for document image classification and retrieval

Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition

The LIMSI handwriting recognition system for the HTRtS 2014 contest

2015 13th International Conference on Document Analysis and Recognition (ICDAR)
Latest Publications