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ORCIDInternational Journal on Document Analysis and Recognition, Volume 19
Volume 19, Number 1, March 2016
- In-Jung Kim, Changbeom Choi, Sang-Heon Lee:
Improving discrimination ability of convolutional neural networks by hybrid learning. 1-9 - Paramita De, Sekhar Mandal, Partha Bhowmick, Amit Kumar Das:
ASKME: adaptive sampling with knowledge-driven vectorization of mechanical engineering drawings. 11-29 - Toufik Sari
, Abderrahmane Kefali, Halima Bahi:
Structural feature-based evaluation method of binarization techniques for word retrieval in the degraded Arabic document images. 31-47 - Truyen Van Phan, Kha Cong Nguyen, Masaki Nakagawa:
A Nom historical document recognition system for digital archiving. 49-64 - Hadi Grailu:
Textual image compression at low bit rates based on region-of-interest coding. 65-81
Volume 19, Number 2, June 2016
- Ryota Hinami, Xinhao Liu, Naoki Chiba, Shin'ichi Satoh:
Bidirectional extraction and recognition of scene text with layout consistency. 83-98 - Jonathan Fabrizio, Myriam Robert-Seidowsky, Séverine Dubuisson, Stefania Calarasanu, Raphaël Boissel:
TextCatcher: a method to detect curved and challenging text in natural scenes. 99-117 - David W. Embley, Mukkai S. Krishnamoorthy, George Nagy, Sharad C. Seth:
Converting heterogeneous statistical tables on the web to searchable databases. 119-138 - Homa Davoudi, Mohamed Cheriet, Ehsanollah Kabir:
Lexicon reduction of handwritten Arabic subwords based on the prominent shape regions. 139-153 - Christoph Riedl, Richard Zanibbi, Marti A. Hearst, Siyu Zhu, Michael Menietti, Jason Crusan, Ivan Metelsky, Karim R. Lakhani:
Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms. 155-172 - Harold Mouchère, Richard Zanibbi, Utpal Garain, Christian Viard-Gaudin:
Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011-2014. 173-189
Volume 19, Number 3, September 2016
- Tuan Anh Tran, In Seop Na, Soo-Hyung Kim:
Page segmentation using minimum homogeneity algorithm and adaptive mathematical morphology. 191-209 - Jorge Calvo-Zaragoza, Luisa Micó, José Oncina:
Music staff removal with supervised pixel classification. 211-219 - Xiangdong Su, Guanglai Gao, Hongxi Wei, Feilong Bao:
A knowledge-based recognition system for historical Mongolian documents. 221-235 - Shuye Zhang, Lianwen Jin, Liang Lin:
Discovering similar Chinese characters in online handwriting with deep convolutional neural networks. 237-252 - Martin Bresler, Daniel Prusa, Václav Hlavác:
Online recognition of sketched arrow-connected diagrams. 253-267 - Yui-Lang Chen, Pao-Ta Yu:
An evidence-based model of saliency feature extraction for scene text analysis. 269-287
Volume 19, Number 4, December 2016
- Fabrizio Pedersoli, George Tzanetakis:
Document segmentation and classification into musical scores and text. 289-304 - Anh Duc Le, Masaki Nakagawa:
A system for recognizing online handwritten mathematical expressions by using improved structural analysis. 305-319 - Jin Chen, Daniel P. Lopresti, George Nagy:
Conservative preprocessing of document images. 321-333 - Lluis Gomez-Bigorda, Dimosthenis Karatzas:
A fast hierarchical method for multi-script and arbitrary oriented scene text extraction. 335-349 - Soumyadeep Dey, Jayanta Mukherjee, Shamik Sural:
Consensus-based clustering for document image segmentation. 351-368 - Illya Degtyarenko, Olga Radyvonenko, Kostiantyn Bokhan, Viacheslav Khomenko:
Text/shape classifier for mobile applications with handwriting input. 369-379
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