![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
International Journal on Document Analysis and Recognition, Volume 21
Volume 21, Numbers 1-2, June 2018
- Showmik Bhowmik, Ram Sarkar, Mita Nasipuri, David S. Doermann:
Text and non-text separation in offline document images: a survey. 1-20 - Papangkorn Inkeaw
, Jakramate Bootkrajang
, Phasit Charoenkwan, Sanparith Marukatat
, Shinn-Ying Ho
, Jeerayut Chaijaruwanich:
Recognition-based character segmentation for multi-level writing style. 21-39 - Florian Westphal
, Håkan Grahn
, Niklas Lavesson
:
Efficient document image binarization using heterogeneous computing and parameter tuning. 41-58 - Randa I. Elanwar
, Wenda Qin, Margrit Betke:
Making scanned Arabic documents machine accessible using an ensemble of SVM classifiers. 59-75 - Iyad Abu Doush
, Faisal Alkhateeb
, Anwaar Hamdi Gharaibeh:
A novel Arabic OCR post-processing using rule-based and word context techniques. 77-89 - Suman K. Ghosh
, Ernest Valveny:
Text box proposals for handwritten word spotting from documents. 91-108 - Rassoul Hajizadeh
, Ali Aghagolzadeh
, Mehdi Ezoji:
Fusion of LLE and stochastic LEM for Persian handwritten digits recognition. 109-122 - Di Lu, Xin Huang, LiXue Sui:
Binarization of degraded document images based on contrast enhancement. 123-135 - Rim Walha
, Fadoua Drira
, Frank Lebourgeois, Christophe Garcia, Adel M. Alimi
:
Handling noise in textual image resolution enhancement using online and offline learned dictionaries. 137-157
Volume 21, Number 3, September 2018
- Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin:
Special issue on deep learning for document analysis and recognition. 159-160 - Bastien Moysset
, Christopher Kermorvant
, Christian Wolf:
Learning to detect, localize and recognize many text objects in document images from few examples. 161-175 - Guillaume Renton
, Yann Soullard, Clément Chatelain
, Sébastien Adam, Christopher Kermorvant
, Thierry Paquet:
Fully convolutional network with dilated convolutions for handwritten text line segmentation. 177-186 - K. Manjusha, M. Anand Kumar
, K. P. Soman:
Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition. 187-198 - Sebastian Sudholt
, Gernot A. Fink:
Attribute CNNs for word spotting in handwritten documents. 199-218 - Luiz G. Hafemann
, Luiz S. Oliveira, Robert Sabourin:
Fixed-sized representation learning from offline handwritten signatures of different sizes. 219-232
Volume 21, Number 4, December 2018
- Zhiyuan Li, Nanjun Teng, Min Jin
, Huaxiang Lu:
Building efficient CNN architecture for offline handwritten Chinese character recognition. 233-240 - Zi-Rui Wang, Jun Du, Wenchao Wang, Jian-Fang Zhai, Jin-Shui Hu:
A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition. 241-251 - Khanh Minh Phan, Anh Duc Le, Bipin Indurkhya
, Masaki Nakagawa:
Augmented incremental recognition of online handwritten mathematical expressions. 253-268 - Aurélie Lemaitre
, Jean Camillerapp, Cérès Carton, Bertrand Coüasnon:
A combined strategy of analysis for the localization of heterogeneous form fields in ancient pre-printed records. 269-282 - Kalthoum Adam, Asim Baig
, Somaya Al-Máadeed
, Ahmed Bouridane, Sherine El-Menshawy:
KERTAS: dataset for automatic dating of ancient Arabic manuscripts. 283-290
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.