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ORCIDInternational 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
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